diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index ecde390a..664f655a 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -17,7 +17,7 @@ jobs:
     strategy:
         matrix:
             os: [windows-latest, macos-latest, ubuntu-latest]
-            python-version: ["3.10", "3.11"]
+            python-version: ["3.11"]
     runs-on: ${{ matrix.os }}
     steps:
       - uses: actions/checkout@v4
@@ -26,7 +26,7 @@ jobs:
         uses: FedericoCarboni/setup-ffmpeg@v2
 
       - name: Install Poetry
-        run: pipx install poetry==1.4.0
+        run: pip3 install poetry==1.5.1
 
       - name: Set up Python
         uses: actions/setup-python@v4
@@ -39,9 +39,6 @@ jobs:
           poetry env use "${{ matrix.python-version }}"
           poetry install --no-interaction --no-cache
 
-      - name: Fix PyTorch bug
-        run: poetry add torch==2.0.0
-
       - name: Test with pytest
         run: poetry run pytest
         env:
diff --git a/.github/workflows/docs.yaml b/.github/workflows/docs.yaml
index 2731d4a5..9d1eacc4 100644
--- a/.github/workflows/docs.yaml
+++ b/.github/workflows/docs.yaml
@@ -17,8 +17,11 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
+      - name: Install ffmpeg
+        uses: FedericoCarboni/setup-ffmpeg@v2
+
       - name: Install Poetry
-        run: pipx install poetry==1.4.0
+        run: pip3 install poetry==1.5.1
 
       - name: Set up Python
         uses: actions/setup-python@v4
@@ -27,12 +30,12 @@ jobs:
           cache: "poetry"
 
       - name: Install Dependencies
-        run: poetry install
+        run: |
+          poetry env use "${{ matrix.python-version }}"
+          poetry install --no-interaction --no-cache
 
       - name: Build documentation
-        run: |
-          poetry env use "3.11"
-          poetry run pdoc --docformat google src/coral_models -o docs
+        run: poetry run pdoc --docformat google src/coral_models -o docs
 
       - name: Compress documentation
         run: tar --directory docs/ -hcf artifact.tar .
diff --git a/.gitignore b/.gitignore
index fc105aec..cb3848cc 100644
--- a/.gitignore
+++ b/.gitignore
@@ -89,6 +89,12 @@ target/
 # pytest cache
 .pytest_cache/
 
+# Linting cache
+.ruff_cache/
+
+# Python cache
+**/__pycache__
+
 # Hydra logs
 outputs/
 multirun/
diff --git a/README.md b/README.md
index 6df23414..011a7a2b 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ ______________________________________________________________________
 [![Documentation](https://img.shields.io/badge/docs-passing-green)](https://alexandrainst.github.io/coral_models/coral_models.html)
 [![License](https://img.shields.io/github/license/alexandrainst/coral_models)](https://github.com/alexandrainst/coral_models/blob/main/LICENSE)
 [![LastCommit](https://img.shields.io/github/last-commit/alexandrainst/coral_models)](https://github.com/alexandrainst/coral_models/commits/main)
-[![Code Coverage](https://img.shields.io/badge/Coverage-60%25-yellow.svg)](https://github.com/alexandrainst/coral_models/tree/main/tests)
+[![Code Coverage](https://img.shields.io/badge/Coverage-53%25-orange.svg)](https://github.com/alexandrainst/coral_models/tree/main/tests)
 
 
 Developers:
@@ -54,7 +54,6 @@ publishing the code as a package and more.
 ## Project structure
 ```
 .
-├── .flake8
 ├── .github
 │   └── workflows
 │       ├── ci.yaml
@@ -66,22 +65,35 @@ publishing the code as a package and more.
 ├── config
 │   ├── __init__.py
 │   ├── config.yaml
-│   ├── dataset
-│   │   ├── common_voice_da.yaml
+│   ├── datasets
+│   │   ├── alvenir_test_set.yaml
+│   │   ├── common_voice_13_da.yaml
+│   │   ├── common_voice_13_nn.yaml
+│   │   ├── common_voice_13_sv.yaml
+│   │   ├── common_voice_9_da.yaml
+│   │   ├── fleurs_da.yaml
+│   │   ├── fleurs_nb.yaml
+│   │   ├── fleurs_sv.yaml
 │   │   ├── ftspeech.yaml
-│   │   └── test.yaml
+│   │   ├── nota.yaml
+│   │   ├── nst_da.yaml
+│   │   └── test_dataset.yaml
 │   ├── hydra
 │   │   └── job_logging
 │   │       └── custom.yaml
 │   └── model
-│       ├── test.yaml
+│       ├── test_wav2vec2.yaml
+│       ├── test_whisper.yaml
 │       ├── wav2vec2.yaml
-│       ├── wav2vec2_with_lm.yaml
-│       └── whisper.yaml
-├── data
+│       ├── whisper_large.yaml
+│       ├── whisper_medium.yaml
+│       ├── whisper_small.yaml
+│       ├── whisper_xsmall.yaml
+│       └── whisper_xxsmall.yaml
+├── docs
+│   └── .gitkeep
 ├── makefile
-├── models
-├── notebooks
+├── poetry.lock
 ├── poetry.toml
 ├── pyproject.toml
 ├── src
@@ -90,15 +102,25 @@ publishing the code as a package and more.
 │   │   ├── compute_metrics.py
 │   │   ├── data.py
 │   │   ├── finetune.py
+│   │   ├── model_setup.py
+│   │   ├── plot.py
+│   │   ├── prepare_raw_data.py
 │   │   ├── protocols.py
 │   │   ├── utils.py
-│   │   └── wav2vec2.py
+│   │   ├── wav2vec2.py
+│   │   └── whisper.py
 │   └── scripts
+│       ├── build_coral_data.py
 │       ├── build_ftspeech.py
-│       ├── evaluate.py
-│       ├── finetune.py
+│       ├── build_nota.py
+│       ├── build_nst_da.py
+│       ├── download_ftspeech.py
+│       ├── evaluate_model.py
+│       ├── find_faulty_audio_clips.py
+│       ├── finetune_model.py
 │       ├── fix_dot_env_file.py
-│       ├── push_ftspeech_to_hub.py
+│       ├── plot_training_trajectory.py
+│       ├── push_to_hub.py
 │       ├── train_ngram_decoder.py
 │       └── versioning.py
 └── tests
@@ -109,5 +131,6 @@ publishing the code as a package and more.
     ├── test_finetune.py
     ├── test_protocols.py
     ├── test_utils.py
-    └── test_wav2vec2.py
+    ├── test_wav2vec2.py
+    └── test_whisper.py
 ```
diff --git a/config/config.yaml b/config/config.yaml
index 738d9548..332cb151 100644
--- a/config/config.yaml
+++ b/config/config.yaml
@@ -1,8 +1,7 @@
 defaults:
   - model: wav2vec2
   - datasets:
-    - nst_da
-    - common_voice_9_da
+    - common_voice_13_da
   - override hydra/job_logging: custom
   - _self_
 
@@ -16,7 +15,13 @@ dirs:
 seed: 4242
 
 # Dataset parameters
-dataset_probabilities:  # null = equal probability to every dataset
+characters_to_keep: 'abcdefghijklmnopqrstuvwxyzæøå0123456789éü '
+max_seconds_per_example: 10
+dataloader_num_workers: 8
+
+# This is a list of the sampling probability of each dataset, where null means that
+# each dataset will be sampled equally often
+dataset_probabilities:
   train: null
   val: null
   test: null
@@ -26,6 +31,7 @@ pipeline_id: ${model.name}-finetuned
 hub_id: alexandrainst/${pipeline_id}
 model_dir: ${dirs.models}/${pipeline_id}
 push_to_hub: false
+fp16: true
 
 # Training parameters
 wandb: false
@@ -34,10 +40,18 @@ wandb_group: default
 wandb_name: null
 resume_from_checkpoint: false
 ignore_data_skip: false
+save_total_limit: 2
+
+# Optimisation parameters
+learning_rate: 3e-5
+adam_first_momentum: 0.9
+adam_second_momentum: 0.98
+batch_size: 8
+gradient_accumulation: 32
+max_steps: 50_000
+warmup_steps: 1_000
 logging_steps: 10
 eval_steps: 100
 save_steps: 100
-save_total_limit: 2
 early_stopping: false
 early_stopping_patience: 50
-fp16: true
diff --git a/config/datasets/alvenir_test_set.yaml b/config/datasets/alvenir_test_set.yaml
new file mode 100644
index 00000000..cb0db3ad
--- /dev/null
+++ b/config/datasets/alvenir_test_set.yaml
@@ -0,0 +1,7 @@
+alvenir_test_set:
+  id: Alvenir/alvenir_asr_da_eval
+  subset: null
+  train_name: null
+  val_name: null
+  test_name: test
+  text_column: sentence
diff --git a/config/hydra/job_logging/custom.yaml b/config/hydra/job_logging/custom.yaml
index 00c8502d..8d40afde 100644
--- a/config/hydra/job_logging/custom.yaml
+++ b/config/hydra/job_logging/custom.yaml
@@ -9,7 +9,11 @@ handlers:
     class: logging.StreamHandler
     formatter: simple
     stream: ext://sys.stdout
+  file:
+    class: logging.FileHandler
+    formatter: simple
+    filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
 root:
-  handlers: [console]
+  handlers: [console, file]
 
 disable_existing_loggers: false
diff --git a/config/model/test_wav2vec2.yaml b/config/model/test_wav2vec2.yaml
index 278bde70..5aa6e062 100644
--- a/config/model/test_wav2vec2.yaml
+++ b/config/model/test_wav2vec2.yaml
@@ -5,7 +5,6 @@ freeze_feature_encoder: true
 
 # Data hyperparameters
 clean_dataset: true
-characters_to_keep: 'abcdefghijklmnopqrstuvwxyzæøå0123456789éü '
 
 # Model hyperparameters
 sampling_rate: 16_000
@@ -23,15 +22,3 @@ ctc_loss_reduction: sum
 
 # Decoder hyperparameters
 language_model_decoder: null
-
-# Training hyperparameters
-batch_size: 1
-gradient_accumulation: 1
-max_steps: 3
-learning_rate: 4e-5
-warmup_steps: 1
-early_stopping: true
-early_stopping_patience: 5
-adam_first_momentum: 0.9
-adam_second_momentum: 0.999
-fp16: false
diff --git a/config/model/test_whisper.yaml b/config/model/test_whisper.yaml
index 5ae1b4c6..54f06db7 100644
--- a/config/model/test_whisper.yaml
+++ b/config/model/test_whisper.yaml
@@ -15,14 +15,4 @@ mask_time_prob: 0.5
 mask_time_length: 10
 mask_feature_prob: 0.5
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 1
-gradient_accumulation: 1
-max_steps: 3
-learning_rate: 4e-5
-warmup_steps: 1
-early_stopping: true
-early_stopping_patience: 5
-fp16: false
-generation_max_length: 1
+generation_max_length: 128
diff --git a/config/model/wav2vec2.yaml b/config/model/wav2vec2.yaml
index 4c972455..5d07214b 100644
--- a/config/model/wav2vec2.yaml
+++ b/config/model/wav2vec2.yaml
@@ -5,7 +5,6 @@ freeze_feature_encoder: false
 
 # Data hyperparameters
 clean_dataset: true
-characters_to_keep: 'abcdefghijklmnopqrstuvwxyzæøå0123456789éü '
 
 # Model hyperparameters
 sampling_rate: 16_000
@@ -15,9 +14,9 @@ hidden_dropout: 0.0
 feat_proj_dropout: 0.0
 feat_quantizer_dropout: 0.0
 final_dropout: 0.0
-mask_time_prob: 0.5
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
 layerdrop: 0.1
 ctc_loss_reduction: mean
@@ -29,12 +28,3 @@ decoder:
   dataset_subset: null
   dataset_split: train
   n: 5
-
-# Training hyperparameters
-batch_size: 8
-gradient_accumulation: 32
-max_steps: 13_000  # Based on the XLS-R paper, section 4.3
-warmup_steps: 1_300  # Based on the XLS-R paper, section 4.3
-learning_rate: 3e-5
-adam_first_momentum: 0.9
-adam_second_momentum: 0.98
diff --git a/config/model/wav2vec2_no_reg.yaml b/config/model/wav2vec2_no_reg.yaml
deleted file mode 100644
index 4e95b8a1..00000000
--- a/config/model/wav2vec2_no_reg.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: wav2vec2_no_reg
-type: wav2vec2
-pretrained_model_id: chcaa/xls-r-300m-danish
-freeze_feature_encoder: false
-
-# Data hyperparameters
-clean_dataset: true
-characters_to_keep: 'abcdefghijklmnopqrstuvwxyzæøå0123456789éü '
-
-# Model hyperparameters
-sampling_rate: 16_000
-activation_dropout: 0.0
-hidden_dropout: 0.0
-attention_dropout: 0.0
-feat_proj_dropout: 0.0
-feat_quantizer_dropout: 0.0
-final_dropout: 0.0
-mask_time_prob: 0.0
-mask_time_length: 10
-mask_feature_prob: 0.0
-mask_feature_length: 64
-layerdrop: 0.0
-ctc_loss_reduction: mean
-
-# Decoder hyperparameters
-language_model_decoder: ngram
-decoder:
-  dataset_id: DDSC/reddit-da-asr-preprocessed
-  dataset_subset: null
-  dataset_split: train
-  n: 5
-
-# Training hyperparameters
-batch_size: 8
-gradient_accumulation: 32
-max_steps: 13_000
-learning_rate: 3e-5
-adam_first_momentum: 0.9
-adam_second_momentum: 0.98
-warmup_steps: 1_300
diff --git a/config/model/whisper_large.yaml b/config/model/whisper_large.yaml
index a67e5113..573a8731 100644
--- a/config/model/whisper_large.yaml
+++ b/config/model/whisper_large.yaml
@@ -8,18 +8,11 @@ clean_dataset: false
 
 # Model hyperparameters
 sampling_rate: 16_000
-dropout: 0.1
-activation_dropout: 0.1
-attention_dropout: 0.1
-mask_time_prob: 0.5
+dropout: 0.0
+activation_dropout: 0.0
+attention_dropout: 0.0
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 1
-gradient_accumulation: 32
-max_steps: 120_000
-learning_rate: 3e-5
-warmup_steps: 500
-generation_max_length: 225
+generation_max_length: 128
diff --git a/config/model/whisper_medium.yaml b/config/model/whisper_medium.yaml
index 2f601331..e80a51fc 100644
--- a/config/model/whisper_medium.yaml
+++ b/config/model/whisper_medium.yaml
@@ -8,18 +8,11 @@ clean_dataset: false
 
 # Model hyperparameters
 sampling_rate: 16_000
-dropout: 0.1
-activation_dropout: 0.1
-attention_dropout: 0.1
-mask_time_prob: 0.5
+dropout: 0.0
+activation_dropout: 0.0
+attention_dropout: 0.0
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 8
-gradient_accumulation: 4
-max_steps: 120_000
-learning_rate: 3e-5
-warmup_steps: 500
-generation_max_length: 225
+generation_max_length: 128
diff --git a/config/model/whisper_small.yaml b/config/model/whisper_small.yaml
index b47d77f7..1e1825e4 100644
--- a/config/model/whisper_small.yaml
+++ b/config/model/whisper_small.yaml
@@ -8,18 +8,11 @@ clean_dataset: false
 
 # Model hyperparameters
 sampling_rate: 16_000
-dropout: 0.1
-activation_dropout: 0.1
-attention_dropout: 0.1
-mask_time_prob: 0.5
+dropout: 0.0
+activation_dropout: 0.0
+attention_dropout: 0.0
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 32
-gradient_accumulation: 1
-max_steps: 120_000
-learning_rate: 3e-5
-warmup_steps: 500
-generation_max_length: 225
+generation_max_length: 128
diff --git a/config/model/whisper_xsmall.yaml b/config/model/whisper_xsmall.yaml
index e727b8e0..125eb1ae 100644
--- a/config/model/whisper_xsmall.yaml
+++ b/config/model/whisper_xsmall.yaml
@@ -8,18 +8,11 @@ clean_dataset: false
 
 # Model hyperparameters
 sampling_rate: 16_000
-dropout: 0.1
-activation_dropout: 0.1
-attention_dropout: 0.1
-mask_time_prob: 0.5
+dropout: 0.0
+activation_dropout: 0.0
+attention_dropout: 0.0
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 32
-gradient_accumulation: 1
-max_steps: 120_000
-learning_rate: 3e-5
-warmup_steps: 500
-generation_max_length: 225
+generation_max_length: 128
diff --git a/config/model/whisper_xxsmall.yaml b/config/model/whisper_xxsmall.yaml
index 18819382..1e16e3ce 100644
--- a/config/model/whisper_xxsmall.yaml
+++ b/config/model/whisper_xxsmall.yaml
@@ -8,18 +8,11 @@ clean_dataset: false
 
 # Model hyperparameters
 sampling_rate: 16_000
-dropout: 0.1
-activation_dropout: 0.1
-attention_dropout: 0.1
-mask_time_prob: 0.5
+dropout: 0.0
+activation_dropout: 0.0
+attention_dropout: 0.0
+mask_time_prob: 0.3
 mask_time_length: 10
-mask_feature_prob: 0.5
+mask_feature_prob: 0.3
 mask_feature_length: 64
-
-# Training hyperparameters
-batch_size: 64
-gradient_accumulation: 1
-max_steps: 60_000
-learning_rate: 3e-5
-warmup_steps: 500
-generation_max_length: 225
+generation_max_length: 128
diff --git a/makefile b/makefile
index d5edb326..62c879a2 100644
--- a/makefile
+++ b/makefile
@@ -1,6 +1,6 @@
 # This ensures that we can call `make <target>` even if `<target>` exists as a file or
 # directory.
-.PHONY: notebook docs help
+.PHONY: docs help
 
 # Exports all variables defined in the makefile available to scripts
 .EXPORT_ALL_VARIABLES:
@@ -10,6 +10,12 @@ ifeq (,$(wildcard .env))
   $(shell touch .env)
 endif
 
+# Create poetry env file if it does not already exist
+ifeq (,$(wildcard ${HOME}/.poetry/env))
+  $(shell mkdir ${HOME}/.poetry)
+  $(shell touch ${HOME}/.poetry/env)
+endif
+
 # Includes environment variables from the .env file
 include .env
 
@@ -17,42 +23,90 @@ include .env
 export GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
 export GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1
 
+# Ensure that `pipx` and `poetry` will be able to run, since `pip` and `brew` put these
+# in the following folders on Unix systems
+export PATH := ${HOME}/.local/bin:/opt/homebrew/bin:$(PATH)
+
+# Prevent DBusErrorResponse during `poetry install`
+# (see https://stackoverflow.com/a/75098703 for more information)
+export PYTHON_KEYRING_BACKEND := keyring.backends.null.Keyring
+
 help:
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' makefile | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 
-finetune: ## Finetune a model
-	@PYTORCH_ENABLE_MPS_FALLBACK=1 python3 src/scripts/finetune.py
+install: ## Install dependencies
+	@echo "Installing the 'coral_models' project..."
+	@$(MAKE) --quiet install-brew
+	@$(MAKE) --quiet install-gpg
+	@$(MAKE) --quiet generate-gpg-key
+	@$(MAKE) --quiet install-pipx
+	@$(MAKE) --quiet install-poetry
+	@$(MAKE) --quiet setup-poetry
+	@$(MAKE) --quiet setup-environment-variables
+	@$(MAKE) --quiet setup-git
+	@echo "Installed the 'coral_models' project."
+
+install-brew:
+	@if [ $$(uname) = "Darwin" ] && [ "$(shell which brew)" = "" ]; then \
+		/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"; \
+		echo "Installed Homebrew."; \
+	fi
 
-install-poetry:
-	@echo "Installing poetry..."
-	@pipx install poetry==1.4.0
-	@$(eval include ${HOME}/.poetry/env)
+install-gpg:
+	@if [ "$(shell which gpg)" = "" ] || [ "$(shell which gpg-agent)" = "" ]; then \
+		uname=$$(uname); \
+			case $${uname} in \
+				(*Linux*) distro=$$(lsb_release -i | sed 's/Distributor ID:\t//'); \
+					case $${distro} in \
+						(*Ubuntu*) installCmd='apt-get update && apt-get install -y gnupg gpg-agent'; ;; \
+						(*CentOS*) installCmd='yum install -y gnupg gpg-agent'; ;; \
+						(*) echo 'Could not automatically install gnupg for the $${distro} distribution. Please manually install gnupg and try again.'; exit 2; ;; \
+					esac; ;; \
+				(*Darwin*) installCmd='brew install gnupg pinentry-mac'; ;; \
+				(*) echo 'Could not automatically install gnupg. Please manually install gnupg and try again.'; exit 2; ;; \
+			esac; \
+			"$${installCmd}"; \
+		echo "Installed gnupg."; \
+	fi
 
-uninstall-poetry:
-	@echo "Uninstalling poetry..."
-	@pipx uninstall poetry
+generate-gpg-key:
+	@if [ "$(shell gpg --list-secret-keys --keyid-format=long | grep sec | sed -E 's/.*\/([^ ]+).*/\1/')" = "" ]; then \
+		echo "Generating a new GPG key - please follow the prompts."; \
+		gpg --full-generate-key; \
+		echo "Generated a new GPG key. Remember to register it to Github at https://github.com/settings/gpg/new, where you add the key generated by running 'gpg --armor --export <key>'"; \
+	fi
 
-install: ## Install dependencies
-	@echo "Installing..."
-	@if [ "$(shell which poetry)" = "" ]; then \
-		$(MAKE) install-poetry; \
+install-pipx:
+	@if [ "$(shell which pipx)" = "" ]; then \
+		uname=$$(uname); \
+			case $${uname} in \
+				(*Darwin*) installCmd='brew install pipx'; ;; \
+				(*CYGWIN*) installCmd='py -3 -m pip install --upgrade --user pipx'; ;; \
+				(*) installCmd='python3 -m pip install --upgrade --user pipx'; ;; \
+			esac; \
+			$${installCmd}; \
+		pipx ensurepath --force; \
+		echo "Installed pipx."; \
 	fi
-	@if [ "$(shell which gpg)" = "" ]; then \
-		echo "GPG not installed, so an error will occur. Install GPG on MacOS with "\
-			 "`brew install gnupg` or on Ubuntu with `apt install gnupg` and run "\
-			 "`make install` again."; \
+
+install-poetry:
+	@if [ ! "$(shell poetry --version)" = "Poetry (version 1.5.1)" ]; then \
+		python3 -m pip uninstall -y poetry poetry-core poetry-plugin-export; \
+		pipx install --force poetry==1.5.1; \
+		echo "Installed Poetry."; \
 	fi
-	@$(MAKE) setup-poetry
-	@$(MAKE) setup-environment-variables
-	@$(MAKE) setup-git
 
 setup-poetry:
 	@poetry env use python3.11 && poetry install
 
 setup-environment-variables:
-	@poetry run python -m src.scripts.fix_dot_env_file
+	@poetry run python src/scripts/fix_dot_env_file.py
+
+setup-environment-variables-non-interactive:
+	@poetry run python src/scripts/fix_dot_env_file.py --non-interactive
 
 setup-git:
+	@git config --global init.defaultBranch main
 	@git init
 	@git config --local user.name ${GIT_NAME}
 	@git config --local user.email ${GIT_EMAIL}
@@ -60,12 +114,9 @@ setup-git:
 		echo "No GPG key ID specified. Skipping GPG signing."; \
 		git config --local commit.gpgsign false; \
 	else \
-		echo "Signing with GPG key ID ${GPG_KEY_ID}..."; \
-		echo 'Just for info: If you get the "failed to sign the data" error when '\
-			 'committing, try running `export GPG_TTY=$$(tty)` and `gpgconf --kill '\
-			 'gpg-agent`, and try again.'; \
 		git config --local commit.gpgsign true; \
 		git config --local user.signingkey ${GPG_KEY_ID}; \
+		echo "Signed with GPG key ID ${GPG_KEY_ID}."; \
 	fi
 	@poetry run pre-commit install
 
@@ -84,59 +135,8 @@ view-docs:  ## View documentation
 		esac; \
 		"$${openCmd}" docs/coral_models.html
 
-bump-major:
-	@poetry run python -m src.scripts.versioning --major
-	@echo "Bumped major version!"
-
-bump-minor:
-	@poetry run python -m src.scripts.versioning --minor
-	@echo "Bumped minor version!"
-
-bump-patch:
-	@poetry run python -m src.scripts.versioning --patch
-	@echo "Bumped patch version!"
-
-publish:
-	@if [ ${PYPI_API_TOKEN} = "" ]; then \
-		echo "No PyPI API token specified in the '.env' file, so cannot publish."; \
-	else \
-		echo "Publishing to PyPI..."; \
-		poetry publish --build --username "__token__" --password ${PYPI_API_TOKEN}; \
-	fi
-	@echo "Published!"
-
-publish-major: bump-major publish  ## Publish a major version
-
-publish-minor: bump-minor publish  ## Publish a minor version
-
-publish-patch: bump-patch publish  ## Publish a patch version
-
 test:  ## Run tests
-	@poetry run pytest && readme-cov
+	@poetry run pytest && poetry run readme-cov
 
 tree:  ## Print directory tree
-	@tree -a \
-		-I .git \
-		-I .mypy_cache \
-		-I .env \
-		-I .venv \
-		-I poetry.lock \
-		-I .ipynb_checkpoints \
-		-I dist \
-		-I .gitkeep \
-		-I docs \
-		-I .mypy_cache \
-		-I .pytest_cache \
-		-I outputs \
-		-I .DS_Store \
-		-I .cache \
-		-I raw \
-		-I processed \
-		-I final \
-		-I checkpoint-* \
-		-I .coverage* \
-		-I .DS_Store \
-		-I __pycache__ \
-		-I multirun \
-		-I wandb \
-		.
+	@tree -a --gitignore -I .git .
diff --git a/poetry.lock b/poetry.lock
index 480d3b27..0bce0545 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,18 +1,18 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
-version = "0.22.0"
+version = "0.23.0"
 description = "Accelerate"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.22.0-py3-none-any.whl", hash = "sha256:d132e57bfc4b0417464997b14aa141fd88696cbb4472eb03116c2bd97542befc"},
-    {file = "accelerate-0.22.0.tar.gz", hash = "sha256:2b0a83e3cd07c89448c5d5a94f72bc1db98d5e0c498ca17984871f01dbf83247"},
+    {file = "accelerate-0.23.0-py3-none-any.whl", hash = "sha256:fba5065ff4e7c8f0a39df50785023703cd9bf8388073aa13c6457920f3bc5225"},
+    {file = "accelerate-0.23.0.tar.gz", hash = "sha256:2139d219fa9a37773c4279c9afebe9f681f2f29e85a29b0be8d76257bd8e4abe"},
 ]
 
 [package.dependencies]
+huggingface-hub = "*"
 numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
@@ -20,110 +20,109 @@ pyyaml = "*"
 torch = ">=1.10.0"
 
 [package.extras]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.8.6"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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 [package.dependencies]
@@ -142,7 +141,6 @@ speedups = ["Brotli", "aiodns", "cchardet"]
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 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -157,7 +155,6 @@ frozenlist = ">=1.1.0"
 name = "antlr4-python3-runtime"
 version = "4.9.3"
 description = "ANTLR 4.9.3 runtime for Python 3.7"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -168,7 +165,6 @@ files = [
 name = "appdirs"
 version = "1.4.4"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -180,7 +176,6 @@ files = [
 name = "async-timeout"
 version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -192,7 +187,6 @@ files = [
 name = "attrs"
 version = "23.1.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -209,66 +203,22 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 
 [[package]]
 name = "audioread"
-version = "3.0.0"
-description = "multi-library, cross-platform audio decoding"
-category = "main"
+version = "3.0.1"
+description = "Multi-library, cross-platform audio decoding."
 optional = false
 python-versions = ">=3.6"
 files = [
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-pathspec = ">=0.9.0"
-platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-
 [package.extras]
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-d = ["aiohttp (>=3.7.4)"]
-jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-uvloop = ["uvloop (>=0.15.2)"]
+test = ["tox"]
 
 [[package]]
 name = "certifi"
 version = "2023.7.22"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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+version = "1.16.0"
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-python-versions = "*"
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 [package.dependencies]
@@ -357,7 +294,6 @@ pycparser = "*"
 name = "cfgv"
 version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -367,94 +303,107 @@ files = [
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
 python-versions = ">=3.7.0"
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 [[package]]
 name = "click"
 version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -469,7 +418,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "cmake"
 version = "3.27.6"
 description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -499,7 +447,6 @@ test = ["coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -511,7 +458,6 @@ files = [
 name = "contourpy"
 version = "1.1.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -570,11 +516,81 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pill
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
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+
+[package.dependencies]
+numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
+
 [[package]]
 name = "coverage"
 version = "5.5"
 description = "Code coverage measurement for Python"
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 files = [
@@ -640,21 +656,23 @@ toml = ["toml"]
 
 [[package]]
 name = "cycler"
-version = "0.11.0"
+version = "0.12.1"
 description = "Composable style cycles"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
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+
 [[package]]
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 version = "2.14.5"
 description = "HuggingFace community-driven open-source library of datasets"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
@@ -697,7 +715,6 @@ vision = ["Pillow (>=6.2.1)"]
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -709,7 +726,6 @@ files = [
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 version = "0.3.7"
 description = "serialize all of Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -724,7 +740,6 @@ graph = ["objgraph (>=1.7.2)"]
 name = "distlib"
 version = "0.3.7"
 description = "Distribution utilities"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -736,7 +751,6 @@ files = [
 name = "docker-pycreds"
 version = "0.4.0"
 description = "Python bindings for the docker credentials store API"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -751,7 +765,6 @@ six = ">=1.4.0"
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 version = "1.1.0"
 description = "An implementation of lxml.xmlfile for the standard library"
-category = "main"
 optional = false
 python-versions = ">=3.6"
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@@ -763,7 +776,6 @@ files = [
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 version = "0.4.0"
 description = "HuggingFace community-driven open-source library of evaluation"
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
@@ -796,99 +808,71 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
 tests = ["Werkzeug (>=1.0.1)", "absl-py", "bert-score (>=0.3.6)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
 torch = ["torch"]
 
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-[package.extras]
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 [[package]]
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+version = "3.12.4"
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 python-versions = ">=3.8"
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 [package.extras]
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-pyflakes = ">=3.1.0,<3.2.0"
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 ]
 
 [package.extras]
@@ -909,7 +893,6 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 name = "frozenlist"
 version = "1.4.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -980,7 +963,6 @@ files = [
 name = "fsspec"
 version = "2023.6.0"
 description = "File-system specification"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -1020,7 +1002,6 @@ tqdm = ["tqdm"]
 name = "gitdb"
 version = "4.0.10"
 description = "Git Object Database"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1033,29 +1014,30 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.34"
+version = "3.1.37"
 description = "GitPython is a Python library used to interact with Git repositories"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar"]
+
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.17.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-category = "main"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1068,22 +1050,22 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
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+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
 [[package]]
 name = "hydra-core"
 version = "1.3.2"
 description = "A framework for elegantly configuring complex applications"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1092,25 +1074,23 @@ files = [
 ]
 
 [package.dependencies]
-antlr4-python3-runtime = ">=4.9.0,<4.10.0"
+antlr4-python3-runtime = "==4.9.*"
 omegaconf = ">=2.2,<2.4"
 packaging = "*"
 
 [[package]]
 name = "hypothesis"
-version = "6.84.0"
+version = "6.87.3"
 description = "A library for property-based testing"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "hypothesis-6.87.3-py3-none-any.whl", hash = "sha256:684a7b56a4a2e990cb0efb3124c2d886c5138453550b6f4f4a3b75bfc8ef24d4"},
+    {file = "hypothesis-6.87.3.tar.gz", hash = "sha256:e67391efb9e6f663031f493d04b5edfb2e47bfc5a6ea56190aed3bc7993d5899"},
 ]
 
 [package.dependencies]
 attrs = ">=19.2.0"
-exceptiongroup = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 sortedcontainers = ">=2.1.0,<3.0.0"
 
 [package.extras]
@@ -1131,14 +1111,13 @@ zoneinfo = ["backports.zoneinfo (>=0.2.1)", "tzdata (>=2023.3)"]
 
 [[package]]
 name = "identify"
-version = "2.5.27"
+version = "2.5.30"
 description = "File identification library for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1148,7 +1127,6 @@ license = ["ukkonen"]
 name = "idna"
 version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -1160,7 +1138,6 @@ files = [
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1168,29 +1145,10 @@ files = [
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 ]
 
-[[package]]
-name = "isort"
-version = "5.12.0"
-description = "A Python utility / library to sort Python imports."
-category = "dev"
-optional = false
-python-versions = ">=3.8.0"
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-
-[package.extras]
-colors = ["colorama (>=0.4.3)"]
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-plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
-
 [[package]]
 name = "jinja2"
 version = "3.1.2"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1208,7 +1166,6 @@ i18n = ["Babel (>=2.7)"]
 name = "jiwer"
 version = "3.0.3"
 description = "Evaluate your speech-to-text system with similarity measures such as word error rate (WER)"
-category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
@@ -1224,7 +1181,6 @@ rapidfuzz = ">=3,<4"
 name = "joblib"
 version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1236,7 +1192,6 @@ files = [
 name = "kenlm"
 version = "0.2.0"
 description = ""
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1251,7 +1206,6 @@ url = "https://github.com/kpu/kenlm/archive/master.zip"
 name = "kiwisolver"
 version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1365,7 +1319,6 @@ files = [
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 version = "0.3"
 description = "lazy_loader"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1381,7 +1334,6 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 name = "librosa"
 version = "0.10.1"
 description = "Python module for audio and music processing"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1413,7 +1365,6 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", "
 name = "lit"
 version = "17.0.2"
 description = "A Software Testing Tool"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1422,43 +1373,41 @@ files = [
 
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 python-versions = ">=3.8"
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 [[package]]
 name = "markupsafe"
 version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1528,7 +1477,6 @@ files = [
 name = "matplotlib"
 version = "3.7.3"
 description = "Python plotting package"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -1593,23 +1541,10 @@ pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 setuptools_scm = ">=7"
 
-[[package]]
-name = "mccabe"
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 description = "Python library for arbitrary-precision floating-point arithmetic"
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 optional = false
 python-versions = "*"
 files = [
@@ -1625,82 +1560,73 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msgpack"
-version = "1.0.5"
+version = "1.0.7"
 description = "MessagePack serializer"
-category = "main"
 optional = false
-python-versions = "*"
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 version = "6.0.4"
 description = "multidict implementation"
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 optional = false
 python-versions = ">=3.7"
 files = [
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 description = "better multiprocessing and multithreading in Python"
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 python-versions = ">=3.7"
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 version = "1.5.1"
 description = "Optional static typing for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
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-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typing-extensions = ">=4.1.0"
 
 [package.extras]
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 version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
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 python-versions = ">=3.5"
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 description = "Python package for creating and manipulating graphs and networks"
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 optional = false
 python-versions = ">=3.8"
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@@ -1891,7 +1812,6 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
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 files = [
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 ]
 
 [[package]]
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 version = "11.10.3.66"
 description = "CUBLAS native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -1998,7 +1909,6 @@ wheel = "*"
 name = "nvidia-cuda-cupti-cu11"
 version = "11.7.101"
 description = "CUDA profiling tools runtime libs."
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2014,7 +1924,6 @@ wheel = "*"
 name = "nvidia-cuda-nvrtc-cu11"
 version = "11.7.99"
 description = "NVRTC native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2031,7 +1940,6 @@ wheel = "*"
 name = "nvidia-cuda-runtime-cu11"
 version = "11.7.99"
 description = "CUDA Runtime native Libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2047,7 +1955,6 @@ wheel = "*"
 name = "nvidia-cudnn-cu11"
 version = "8.5.0.96"
 description = "cuDNN runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2063,7 +1970,6 @@ wheel = "*"
 name = "nvidia-cufft-cu11"
 version = "10.9.0.58"
 description = "CUFFT native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2075,7 +1981,6 @@ files = [
 name = "nvidia-curand-cu11"
 version = "10.2.10.91"
 description = "CURAND native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2091,7 +1996,6 @@ wheel = "*"
 name = "nvidia-cusolver-cu11"
 version = "11.4.0.1"
 description = "CUDA solver native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2108,7 +2012,6 @@ wheel = "*"
 name = "nvidia-cusparse-cu11"
 version = "11.7.4.91"
 description = "CUSPARSE native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2124,7 +2027,6 @@ wheel = "*"
 name = "nvidia-nccl-cu11"
 version = "2.14.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2135,7 +2037,6 @@ files = [
 name = "nvidia-nvtx-cu11"
 version = "11.7.91"
 description = "NVIDIA Tools Extension"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -2151,7 +2052,6 @@ wheel = "*"
 name = "omegaconf"
 version = "2.3.0"
 description = "A flexible configuration library"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2160,14 +2060,13 @@ files = [
 ]
 
 [package.dependencies]
-antlr4-python3-runtime = ">=4.9.0,<4.10.0"
+antlr4-python3-runtime = "==4.9.*"
 PyYAML = ">=5.1.0"
 
 [[package]]
 name = "openpyxl"
 version = "3.1.2"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2180,21 +2079,19 @@ et-xmlfile = "*"
 
 [[package]]
 name = "packaging"
-version = "23.1"
+version = "23.2"
 description = "Core utilities for Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [[package]]
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 version = "2.1.0"
 description = "Powerful data structures for data analysis, time series, and statistics"
-category = "main"
 optional = false
 python-versions = ">=3.9"
 files = [
@@ -2220,10 +2117,7 @@ files = [
 ]
 
 [package.dependencies]
-numpy = [
-    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-]
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 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 tzdata = ">=2022.1"
@@ -2253,22 +2147,73 @@ test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)"
 xml = ["lxml (>=4.8.0)"]
 
 [[package]]
-name = "pathspec"
-version = "0.11.2"
-description = "Utility library for gitignore style pattern matching of file paths."
-category = "dev"
+name = "pandas"
+version = "2.1.1"
+description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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 ]
 
+[package.dependencies]
+numpy = {version = ">=1.23.2", markers = "python_version == \"3.11\""}
+python-dateutil = ">=2.8.2"
+pytz = ">=2020.1"
+tzdata = ">=2022.1"
+
+[package.extras]
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+clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
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+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
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+fss = ["fsspec (>=2022.05.0)"]
+gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
+hdf5 = ["tables (>=3.7.0)"]
+html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
+mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
+parquet = ["pyarrow (>=7.0.0)"]
+performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
+plot = ["matplotlib (>=3.6.1)"]
+postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
+spss = ["pyreadstat (>=1.1.5)"]
+sql-other = ["SQLAlchemy (>=1.4.36)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.8.0)"]
+
 [[package]]
 name = "pathtools"
 version = "0.1.2"
 description = "File system general utilities"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2279,7 +2224,6 @@ files = [
 name = "pdoc"
 version = "7.4.0"
 description = "API Documentation for Python Projects"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2296,68 +2240,65 @@ dev = ["flake8", "hypothesis", "mypy", "pytest", "pytest-cov", "pytest-timeout",
 
 [[package]]
 name = "pillow"
-version = "10.0.0"
+version = "10.0.1"
 description = "Python Imaging Library (Fork)"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2366,14 +2307,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 
 [[package]]
 name = "platformdirs"
-version = "3.10.0"
+version = "3.11.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -2384,7 +2324,6 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-co
 name = "pluggy"
 version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2400,7 +2339,6 @@ testing = ["pytest", "pytest-benchmark"]
 name = "pooch"
 version = "1.7.0"
 description = "\"Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.\""
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2422,7 +2360,6 @@ xxhash = ["xxhash (>=1.4.3)"]
 name = "pre-commit"
 version = "2.21.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2439,32 +2376,30 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "protobuf"
-version = "4.24.2"
+version = "4.24.4"
 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "psutil"
 version = "5.9.5"
 description = "Cross-platform lib for process and system monitoring in Python."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -2491,7 +2426,6 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 name = "pyarrow"
 version = "13.0.0"
 description = "Python library for Apache Arrow"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2529,23 +2463,10 @@ files = [
 [package.dependencies]
 numpy = ">=1.16.6"
 
-[[package]]
-name = "pycodestyle"
-version = "2.11.0"
-description = "Python style guide checker"
-category = "dev"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "pycodestyle-2.11.0-py2.py3-none-any.whl", hash = "sha256:5d1013ba8dc7895b548be5afb05740ca82454fd899971563d2ef625d090326f8"},
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-]
-
 [[package]]
 name = "pycountry"
 version = "22.3.5"
 description = "ISO country, subdivision, language, currency and script definitions and their translations"
-category = "main"
 optional = false
 python-versions = ">=3.6, <4"
 files = [
@@ -2559,7 +2480,6 @@ setuptools = "*"
 name = "pycparser"
 version = "2.21"
 description = "C parser in Python"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -2571,7 +2491,6 @@ files = [
 name = "pyctcdecode"
 version = "0.5.0"
 description = "CTC beam search decoder for speech recognition."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2591,7 +2510,6 @@ dev = ["bandit", "black", "codecov", "flake8", "huggingface-hub", "isort (>=5.0.
 name = "pydub"
 version = "0.25.1"
 description = "Manipulate audio with an simple and easy high level interface"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2599,23 +2517,10 @@ files = [
     {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"},
 ]
 
-[[package]]
-name = "pyflakes"
-version = "3.1.0"
-description = "passive checker of Python programs"
-category = "dev"
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
 [[package]]
 name = "pygments"
 version = "2.16.1"
 description = "Pygments is a syntax highlighting package written in Python."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2630,7 +2535,6 @@ plugins = ["importlib-metadata"]
 name = "pygtrie"
 version = "2.5.0"
 description = "A pure Python trie data structure implementation."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2642,7 +2546,6 @@ files = [
 name = "pyparsing"
 version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
 optional = false
 python-versions = ">=3.6.8"
 files = [
@@ -2655,23 +2558,20 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "7.4.1"
+version = "7.4.2"
 description = "pytest: simple powerful testing with Python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"},
+    {file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -2680,7 +2580,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 name = "pytest-cov"
 version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2699,7 +2598,6 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 name = "python-dateutil"
 version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
@@ -2714,7 +2612,6 @@ six = ">=1.5"
 name = "pytz"
 version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2726,7 +2623,6 @@ files = [
 name = "pyyaml"
 version = "6.0.1"
 description = "YAML parser and emitter for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2784,104 +2680,119 @@ files = [
 
 [[package]]
 name = "rapidfuzz"
-version = "3.2.0"
+version = "3.4.0"
 description = "rapid fuzzy string matching"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -2891,7 +2802,6 @@ full = ["numpy"]
 name = "readme-coverage-badger"
 version = "0.1.2"
 description = "automatically generates your project's coverage badge using the shields.io service, and then updates your README"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2905,107 +2815,105 @@ coverage = "<6"
 
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 scipy = ">=1.5.0"
 threadpoolctl = ">=2.0.0"
 
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 ]
 
 [package.dependencies]
@@ -3210,14 +3159,13 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo
 
 [[package]]
 name = "sentry-sdk"
-version = "1.30.0"
+version = "1.31.0"
 description = "Python client for Sentry (https://sentry.io)"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 [package.dependencies]
@@ -3227,10 +3175,12 @@ urllib3 = {version = ">=1.26.11", markers = "python_version >= \"3.6\""}
 [package.extras]
 aiohttp = ["aiohttp (>=3.5)"]
 arq = ["arq (>=0.23)"]
+asyncpg = ["asyncpg (>=0.23)"]
 beam = ["apache-beam (>=2.12)"]
 bottle = ["bottle (>=0.12.13)"]
 celery = ["celery (>=3)"]
 chalice = ["chalice (>=1.16.0)"]
+clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
 django = ["django (>=1.8)"]
 falcon = ["falcon (>=1.4)"]
 fastapi = ["fastapi (>=0.79.0)"]
@@ -3254,84 +3204,99 @@ tornado = ["tornado (>=5)"]
 
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 optional = false
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 [[package]]
 name = "setuptools-scm"
-version = "7.1.0"
+version = "8.0.4"
 description = "the blessed package to manage your versions by scm tags"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-packaging = ">=20.0"
+packaging = ">=20"
 setuptools = "*"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 typing-extensions = "*"
 
 [package.extras]
-test = ["pytest (>=6.2)", "virtualenv (>20)"]
-toml = ["setuptools (>=42)"]
+docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
+rich = ["rich"]
+test = ["build", "pytest", "rich", "wheel"]
 
 [[package]]
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -3390,21 +3352,19 @@ files = [
 
 [[package]]
 name = "smmap"
-version = "5.0.0"
+version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 [[package]]
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 version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3416,7 +3376,6 @@ files = [
 name = "soundfile"
 version = "0.12.1"
 description = "An audio library based on libsndfile, CFFI and NumPy"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3438,37 +3397,41 @@ numpy = ["numpy"]
 
 [[package]]
 name = "soxr"
-version = "0.3.6"
+version = "0.3.7"
 description = "High quality, one-dimensional sample-rate conversion library"
-category = "main"
 optional = false
 python-versions = ">=3.6"
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 ]
 
 [package.dependencies]
@@ -3482,7 +3445,6 @@ test = ["pytest"]
 name = "sympy"
 version = "1.12"
 description = "Computer algebra system (CAS) in Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -3497,7 +3459,6 @@ mpmath = ">=0.19"
 name = "threadpoolctl"
 version = "3.2.0"
 description = "threadpoolctl"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -3509,7 +3470,6 @@ files = [
 name = "tokenizers"
 version = "0.14.1"
 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3625,7 +3585,6 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 name = "toml"
 version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -3633,54 +3592,56 @@ files = [
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "torch"
-version = "2.1.0"
+version = "2.0.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 filelock = "*"
-fsspec = "*"
 jinja2 = "*"
 networkx = "*"
+nvidia-cublas-cu11 = {version = "11.10.3.66", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu11 = {version = "11.7.101", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu11 = {version = "8.5.0.96", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu11 = {version = "10.9.0.58", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu11 = {version = "10.2.10.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu11 = {version = "11.4.0.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu11 = {version = "11.7.4.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu11 = {version = "2.14.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu11 = {version = "11.7.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
+triton = {version = "2.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = "*"
 
 [package.extras]
@@ -3688,42 +3649,40 @@ opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
 name = "torchaudio"
-version = "2.1.0"
+version = "2.0.1"
 description = "An audio package for PyTorch"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
-torch = "2.1.0"
+torch = "2.0.0"
 
 [[package]]
 name = "tqdm"
 version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3744,7 +3703,6 @@ telegram = ["requests"]
 name = "transformers"
 version = "4.34.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
@@ -3814,7 +3772,6 @@ vision = ["Pillow (<10.0.0)"]
 name = "triton"
 version = "2.0.0"
 description = "A language and compiler for custom Deep Learning operations"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3850,21 +3807,19 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
 [[package]]
 name = "tzdata"
 version = "2023.3"
 description = "Provider of IANA time zone data"
-category = "main"
 optional = false
 python-versions = ">=2"
 files = [
@@ -3874,14 +3829,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.0.4"
+version = "2.0.6"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -3892,14 +3846,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.4"
+version = "20.24.5"
 description = "Virtual Python Environment builder"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -3913,14 +3866,13 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "wandb"
-version = "0.15.9"
-description = "A CLI and library for interacting with the Weights and Biases API."
-category = "main"
+version = "0.15.12"
+description = "A CLI and library for interacting with the Weights & Biases API."
 optional = false
 python-versions = ">=3.6"
 files = [
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 [package.dependencies]
@@ -3942,11 +3894,11 @@ async = ["httpx (>=0.22.0)"]
 aws = ["boto3"]
 azure = ["azure-identity", "azure-storage-blob"]
 gcp = ["google-cloud-storage"]
-grpc = ["grpcio (>=1.27.2)"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
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+launch = ["PyYAML (>=6.0.0)", "awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "nbconvert", "nbformat", "optuna", "typing-extensions"]
 media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"]
 models = ["cloudpickle"]
+nexus = ["wandb-core (>=0.16.0b1)"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
 
@@ -3954,7 +3906,6 @@ sweeps = ["sweeps (>=0.2.0)"]
 name = "wave"
 version = "0.0.2"
 description = "Whole Architecture Verification"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 version = "0.41.2"
 description = "A built-package format for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [[package]]
 name = "yarl"
 version = "1.9.2"
 description = "Yet another URL library"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -4162,5 +4133,5 @@ multidict = ">=4.0"
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.10,<3.12"
-content-hash = "dc75594d9a38b08a0c86780eabe4ca75a4e9e1c41c25cab1e1d26078f370eddc"
+python-versions = ">=3.11,<3.13"
+content-hash = "b3d1d84f9fd81731f401e79297454321a9984b16a8210ca92ad92e674e0da732"
diff --git a/pyproject.toml b/pyproject.toml
index ad76ae7f..59437db1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,11 +9,11 @@ readme = "README.md"
 license = "MIT"
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.12"
+python = ">=3.11,<3.13"
 hydra-core = "^1.1.1"
 evaluate = ">=0.4.0,<1.0.0"
 transformers = "^4.33.0"
-torch = "^2.1.0"
+torch = "2.0.0"
 librosa = ">=0.10.0.post2,<1.0.0"
 soundfile = ">=0.12.1,<1.0.0"
 torchaudio = "^2.0.1"
@@ -30,29 +30,14 @@ pycountry = "^22.3.5"
 wave = ">=0.0.2,<1.0.0"
 kenlm = {url = "https://github.com/kpu/kenlm/archive/master.zip"}
 matplotlib = "3.7.3"
-nvidia-cublas-cu11 = {version = "^11", platform = "linux"}
-nvidia-cuda-cupti-cu11 = {version = "^11", platform = "linux"}
-nvidia-cuda-nvrtc-cu11 = {version = "^11", platform = "linux"}
-nvidia-cuda-runtime-cu11 = {version = "^11", platform = "linux"}
-nvidia-cudnn-cu11 = {version = "^8", platform = "linux"}
-nvidia-cufft-cu11 = {version = "^10", platform = "linux"}
-nvidia-curand-cu11 = {version = "^10", platform = "linux"}
-nvidia-cusolver-cu11 = {version = "^11", platform = "linux"}
-nvidia-cusparse-cu11 = {version = "^11", platform = "linux"}
-nvidia-nccl-cu11 = {version = "^2", platform = "linux"}
-nvidia-nvtx-cu11 = {version = "^11", platform = "linux"}
-triton = {version = "^2.0.0", platform = "linux"}
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.0.0"
 pytest-cov = "^4.0.0"
 pre-commit = "^2.17.0"
 pdoc = "^7.1.1"
-black = "^23.7.0"
 readme-coverage-badger = ">=0.1.2,<1.0.0"
-flake8 = "^6.0.0"
 mypy = "^1.4.1"
-isort = "^5.12.0"
 
 [tool.pytest.ini_options]
 minversion = "6.0"
@@ -66,6 +51,12 @@ addopts = [
     '--cov=src/coral_models',
 ]
 xfail_strict = true
+filterwarnings = [
+    "error",
+    "ignore::UserWarning",
+    "ignore::DeprecationWarning",
+    "ignore::ImportWarning",
+]
 log_cli_level = "info"
 testpaths = ["tests", "src/coral_models"]
 
diff --git a/src/coral_models/data.py b/src/coral_models/data.py
index f391d68f..5ed94bf2 100644
--- a/src/coral_models/data.py
+++ b/src/coral_models/data.py
@@ -1,5 +1,6 @@
 """Functions related to the data loading and processing"""
 
+from functools import partial
 import logging
 import os
 import re
@@ -274,18 +275,16 @@ def clean_dataset(
     # transcriptions, as they do not have an influence on the pronunciation of the
     # words.
     non_standard_characters_regex = re.compile(
-        f"[^{re.escape(cfg.model.characters_to_keep)}]"
+        f"[^{re.escape(cfg.characters_to_keep)}]"
     )
 
-    def clean_examples(example: dict) -> dict:
-        example["text"] = clean_transcription(
-            doc=example["text"],
+    mapped = dataset.map(
+        partial(
+            clean_example,
             non_standard_characters_regex=non_standard_characters_regex,
             conversion_dict=conversion_dict,
         )
-        return example
-
-    mapped = dataset.map(clean_examples)
+    )
 
     # After calling `map` the DatasetInfo is lost, so we need to add it back in
     for split in dataset.keys():
@@ -294,25 +293,26 @@ def clean_examples(example: dict) -> dict:
     return mapped
 
 
-def clean_transcription(
-    doc: str,
+def clean_example(
+    example: dict,
     non_standard_characters_regex: re.Pattern[str],
     conversion_dict: dict[str, str],
-) -> str:
-    """Cleans the transcription of a document.
+) -> dict:
+    """Helper function which cleans a single example.
 
     Args:
-        doc (str):
-            A document to be cleaned.
-        non_standard_characters_regex (compiled regex expression):
+        example:
+            The example to be cleaned.
+        non_standard_characters_regex:
             A compiled regex expression that matches all non-standard characters.
-        conversion_dict (dict[str, str]):
+        conversion_dict:
             A dictionary of characters to be converted.
 
     Returns:
-        str:
-            The cleaned document.
+        The cleaned example.
     """
+    doc = example["text"]
+
     # Normalise the transcription, which uniformises the characters. For instance, the
     # "long dash" (－) is converted to the normal dash (-).
     doc = normalize("NFKC", doc)
@@ -323,4 +323,10 @@ def clean_transcription(
     # Replace superfluous spaces
     doc = re.sub(r" +", " ", doc)
 
-    return re.sub(non_standard_characters_regex, "", doc.lower().strip())
+    # Remove all non-standard characters, and make the document lower case
+    doc = re.sub(non_standard_characters_regex, "", doc.lower().strip())
+
+    # Re-assign the cleaned transcription
+    example["text"] = doc
+
+    return example
diff --git a/src/coral_models/finetune.py b/src/coral_models/finetune.py
index 68cd9a78..089d64b8 100644
--- a/src/coral_models/finetune.py
+++ b/src/coral_models/finetune.py
@@ -1,6 +1,8 @@
 """Functions related to the finetuning of Wav2Vec 2.0 models on ASR datasets."""
 
+from functools import partial
 import logging
+from typing import Callable
 
 from omegaconf import DictConfig
 from transformers import EarlyStoppingCallback, TrainerCallback
@@ -15,12 +17,52 @@
 logger = logging.getLogger(__package__)
 
 
+def prepare_dataset_example(example: dict, processor: Callable) -> dict:
+    """Prepare a dataset example for the model.
+
+    Args:
+        example: The example from the dataset.
+        processor: The processor to use.
+
+    Returns:
+        The prepared example.
+    """
+    # Prepare audio
+    audio = example["audio"]
+    sampling_rate = audio["sampling_rate"]
+    processed = processor(audio["array"], sampling_rate=sampling_rate)
+    if "input_values" in processed:
+        example["input_values"] = processed.input_values[0]
+        example["num_seconds"] = len(example["input_values"]) / sampling_rate
+    if "input_features" in processed:
+        example["input_features"] = processed.input_features[0]
+        example["num_seconds"] = len(example["input_features"]) / sampling_rate
+
+    # Prepare transcriptions
+    example["labels"] = processor(text=example["text"], truncation=True).input_ids
+    example["input_length"] = len(example["labels"])
+
+    return example
+
+
+def example_audio_is_short(example: dict, max_seconds_per_example: int) -> bool:
+    """Check if the example audio is too short.
+
+    Args:
+        example: The example from the dataset.
+        max_seconds_per_example: The maximum number of seconds per example.
+
+    Returns:
+        Whether the example audio is too short.
+    """
+    return example["num_seconds"] <= max_seconds_per_example
+
+
 def finetune(cfg: DictConfig) -> None:
     """Finetune a model on a dataset.
 
     Args:
-        cfg (DictConfig):
-            The Hydra cfguration object.
+        cfg: The Hydra cfguration object.
     """
     model_setup: ModelSetup = load_model_setup(cfg)
     processor = model_setup.load_processor()
@@ -28,22 +70,16 @@ def finetune(cfg: DictConfig) -> None:
     model = model_setup.load_model()
     dataset = load_data(cfg)
 
-    def prepare_dataset(example: dict) -> dict:
-        # Prepare audio
-        audio = example["audio"]
-        processed = processor(audio["array"], sampling_rate=audio["sampling_rate"])
-        if "input_values" in processed:
-            example["input_values"] = processed.input_values[0]
-        if "input_features" in processed:
-            example["input_features"] = processed.input_features[0]
-
-        # Prepare transcriptions
-        example["labels"] = processor(text=example["text"], truncation=True).input_ids
-        example["input_length"] = len(example["labels"])
-
-        return example
-
-    dataset = dataset.map(prepare_dataset, remove_columns=dataset["train"].column_names)
+    dataset = dataset.map(
+        function=partial(prepare_dataset_example, processor=processor),
+        remove_columns=dataset["train"].column_names,
+    )
+    dataset = dataset.filter(
+        function=partial(
+            example_audio_is_short,
+            max_seconds_per_example=cfg.max_seconds_per_example,
+        ),
+    )
 
     if cfg.wandb:
         wandb_init(
@@ -80,12 +116,10 @@ def load_early_stopping_callback(cfg: DictConfig) -> list[TrainerCallback]:
     """Load the early stopping callback for the trainer.
 
     Args:
-        cfg (DictConfig):
-            The Hydra configuration object.
+        cfg: The Hydra configuration object.
 
     Returns:
-        list of TrainerCallback:
-            The callbacks.
+        The callbacks.
     """
     callbacks: list[TrainerCallback] = list()
     if cfg.early_stopping:
diff --git a/src/coral_models/utils.py b/src/coral_models/utils.py
index d670abdc..0e4e50db 100644
--- a/src/coral_models/utils.py
+++ b/src/coral_models/utils.py
@@ -19,9 +19,9 @@ def block_terminal_output() -> None:
         - Logs from the `datasets` package
         - Progress bars from the `datasets` package
     """
-
     # Ignore user warnings throughout the codebase
     warnings.filterwarnings("ignore", category=UserWarning)
+    warnings.filterwarnings("ignore", category=RuntimeWarning)
 
     # Disable logging from Hugging Face libraries
     ds_logging.set_verbosity_error()
diff --git a/src/coral_models/wav2vec2.py b/src/coral_models/wav2vec2.py
index 9b750500..68ec2b10 100644
--- a/src/coral_models/wav2vec2.py
+++ b/src/coral_models/wav2vec2.py
@@ -72,18 +72,22 @@ def torch_call(self, features: list[dict]) -> BatchFeature:
             BatchFeature:
                 A dictionary of the collated features.
         """
-        audio_features = [
-            dict(input_values=feature["input_values"]) for feature in features
-        ]
+        if "input_values" in features[0]:
+            audio_features = [dict(input_values=f["input_values"]) for f in features]
+        elif "audio" in features[0]:
+            audio_features = [dict(audio=f["audio"]["array"]) for f in features]
+        else:
+            raise ValueError(
+                "Features must contain either 'input_values' or 'audio' key."
+            )
         batch: BatchFeature = self.processor.pad(
             audio_features, padding=self.padding, return_tensors="pt"
         )
 
-        with self.processor.as_target_processor():
-            label_features = [dict(input_ids=feature["labels"]) for feature in features]
-            labels_batch: BatchEncoding = self.processor.pad(
-                label_features, padding=self.padding, return_tensors="pt"
-            )
+        label_features = [dict(input_ids=feature["labels"]) for feature in features]
+        labels_batch: BatchEncoding = self.processor.tokenizer.pad(
+            label_features, padding=self.padding, return_tensors="pt"
+        )
 
         # Replace padding with -100 to ignore loss correctly
         non_one_entries: torch.Tensor = labels_batch.attention_mask.ne(1)
@@ -184,13 +188,13 @@ def load_training_arguments(self) -> TrainingArguments:
         args = TrainingArguments(
             output_dir=self.cfg.model_dir,
             hub_model_id=self.cfg.hub_id,
-            per_device_train_batch_size=self.cfg.model.batch_size,
-            per_device_eval_batch_size=self.cfg.model.batch_size,
-            gradient_accumulation_steps=self.cfg.model.gradient_accumulation,
-            learning_rate=self.cfg.model.learning_rate,
+            per_device_train_batch_size=self.cfg.batch_size,
+            per_device_eval_batch_size=self.cfg.batch_size,
+            gradient_accumulation_steps=self.cfg.gradient_accumulation,
+            learning_rate=self.cfg.learning_rate,
             lr_scheduler_type=SchedulerType.COSINE,
-            warmup_steps=self.cfg.model.warmup_steps,
-            max_steps=self.cfg.model.max_steps,
+            warmup_steps=self.cfg.warmup_steps,
+            max_steps=self.cfg.max_steps,
             fp16=self.cfg.fp16 and not mps_is_available(),
             push_to_hub=self.cfg.push_to_hub,
             evaluation_strategy="steps" if do_eval else "no",
@@ -206,13 +210,13 @@ def load_training_arguments(self) -> TrainingArguments:
             seed=self.cfg.seed,
             remove_unused_columns=False,
             optim=OptimizerNames.ADAMW_TORCH,
-            adam_beta1=self.cfg.model.adam_first_momentum,
-            adam_beta2=self.cfg.model.adam_second_momentum,
+            adam_beta1=self.cfg.adam_first_momentum,
+            adam_beta2=self.cfg.adam_second_momentum,
             report_to=["wandb"] if self.cfg.wandb else [],
             ignore_data_skip=self.cfg.ignore_data_skip,
             save_safetensors=True,
             use_cpu=hasattr(sys, "_called_from_test"),
-            auto_find_batch_size=True,
+            dataloader_num_workers=self.cfg.dataloader_num_workers,
         )
         return args
 
@@ -221,18 +225,16 @@ def load_saved(self) -> PreTrainedModelData:
         if self.cfg.model.language_model_decoder is not None:
             try:
                 processor = Wav2Vec2ProcessorWithLM.from_pretrained(
-                    self.cfg.hub_id, use_auth_token=True
+                    self.cfg.hub_id, token=True
                 )
             except (FileNotFoundError, ValueError):
                 processor = Wav2Vec2Processor.from_pretrained(
-                    self.cfg.hub_id, use_auth_token=True
+                    self.cfg.hub_id, token=True
                 )
         else:
-            processor = Wav2Vec2Processor.from_pretrained(
-                self.cfg.hub_id, use_auth_token=True
-            )
+            processor = Wav2Vec2Processor.from_pretrained(self.cfg.hub_id, token=True)
 
-        model = Wav2Vec2ForCTC.from_pretrained(self.cfg.hub_id, use_auth_token=True)
+        model = Wav2Vec2ForCTC.from_pretrained(self.cfg.hub_id, token=True)
         data_collator = DataCollatorCTCWithPadding(
             processor=processor, padding="longest"
         )
@@ -255,7 +257,7 @@ def dump_vocabulary(cfg: DictConfig) -> None:
             The Hydra configuration object.
     """
     # Build the set of all unique characters in the dataset
-    unique_characters: set[str] = set(cfg.model.characters_to_keep)
+    unique_characters: set[str] = set(cfg.characters_to_keep)
 
     # Build vocabulary
     vocab = {char: idx for idx, char in enumerate(unique_characters)}
diff --git a/src/coral_models/whisper.py b/src/coral_models/whisper.py
index 14280c47..ecd6de8e 100644
--- a/src/coral_models/whisper.py
+++ b/src/coral_models/whisper.py
@@ -11,7 +11,6 @@
 from transformers import (
     BatchFeature,
     EvalPrediction,
-    SchedulerType,
     Seq2SeqTrainer,
     Seq2SeqTrainingArguments,
     Trainer,
@@ -67,14 +66,18 @@ def torch_call(self, features: list[dict]) -> BatchFeature:
             BatchFeature:
                 A dictionary of the collated features.
         """
-        # Split inputs and labels since they have to be of different lengths and need
-        # different padding methods. First treat the audio inputs by simply returning
-        # torch tensors
-        input_features = [
-            {"input_features": feature["input_features"]} for feature in features
-        ]
+        if "input_features" in features[0]:
+            audio_features = [
+                dict(input_features=f["input_features"]) for f in features
+            ]
+        elif "audio" in features[0]:
+            audio_features = [dict(audio=f["audio"]["array"]) for f in features]
+        else:
+            raise ValueError(
+                "Features must contain either 'input_features' or 'audio' key."
+            )
         batch = self.processor.feature_extractor.pad(
-            input_features, return_tensors="pt"
+            audio_features, return_tensors="pt"
         )
 
         # Get the tokenized label sequences
@@ -177,13 +180,12 @@ def load_training_arguments(self) -> TrainingArguments:
         args = Seq2SeqTrainingArguments(
             output_dir=self.cfg.model_dir,
             hub_model_id=self.cfg.hub_id,
-            per_device_train_batch_size=self.cfg.model.batch_size,
-            per_device_eval_batch_size=self.cfg.model.batch_size,
-            gradient_accumulation_steps=self.cfg.model.gradient_accumulation,
-            learning_rate=self.cfg.model.learning_rate,
-            lr_scheduler_type=SchedulerType.COSINE,
-            warmup_steps=self.cfg.model.warmup_steps,
-            max_steps=self.cfg.model.max_steps,
+            per_device_train_batch_size=self.cfg.batch_size,
+            per_device_eval_batch_size=self.cfg.batch_size,
+            gradient_accumulation_steps=self.cfg.gradient_accumulation,
+            learning_rate=self.cfg.learning_rate,
+            warmup_steps=self.cfg.warmup_steps,
+            max_steps=self.cfg.max_steps,
             fp16=self.cfg.fp16 and not mps_is_available(),
             push_to_hub=self.cfg.push_to_hub,
             evaluation_strategy="steps" if do_eval else "no",
@@ -205,18 +207,16 @@ def load_training_arguments(self) -> TrainingArguments:
             predict_with_generate=True,
             generation_max_length=self.cfg.model.generation_max_length,
             use_cpu=hasattr(sys, "_called_from_test"),
-            auto_find_batch_size=True,
+            dataloader_num_workers=self.cfg.dataloader_num_workers,
         )
         return args
 
     def load_saved(self) -> PreTrainedModelData:
         processor: Processor
-        processor = WhisperProcessor.from_pretrained(
-            self.cfg.hub_id, use_auth_token=True
-        )
+        processor = WhisperProcessor.from_pretrained(self.cfg.hub_id, token=True)
 
         model = WhisperForConditionalGeneration.from_pretrained(
-            self.cfg.hub_id, use_auth_token=True
+            self.cfg.hub_id, token=True
         )
         data_collator = DataCollatorSpeechSeq2SeqWithPadding(
             processor=processor, padding="longest"
diff --git a/src/scripts/evaluate_model.py b/src/scripts/evaluate_model.py
index 93a531c3..d15c08fb 100644
--- a/src/scripts/evaluate_model.py
+++ b/src/scripts/evaluate_model.py
@@ -12,6 +12,7 @@
 from coral_models.data import load_data
 from coral_models.model_setup import load_model_setup
 from coral_models.protocols import Processor
+from coral_models.utils import transformers_output_ignored
 
 
 @hydra.main(config_path="../../config", config_name="config", version_base=None)
@@ -19,14 +20,11 @@ def main(cfg: DictConfig) -> None:
     """Evaluate a speech model on a dataset."""
     eval_dataset_cfg = list(cfg.datasets.values())[0]
 
-    model_data = load_model_setup(cfg).load_saved()
+    with transformers_output_ignored():
+        model_data = load_model_setup(cfg).load_saved()
 
     dataset: DatasetDict | IterableDatasetDict = load_data(cfg)
-    dataset = preprocess_transcriptions(
-        dataset=dataset,
-        processor=model_data.processor,
-        text_column=eval_dataset_cfg.datasets.text_column,
-    )
+    dataset = preprocess_transcriptions(dataset=dataset, processor=model_data.processor)
 
     trainer = Trainer(
         args=TrainingArguments(".", remove_unused_columns=False, report_to=[]),
@@ -37,7 +35,7 @@ def main(cfg: DictConfig) -> None:
         tokenizer=getattr(model_data.processor, "tokenizer"),
     )
 
-    metrics = trainer.evaluate(dataset["test"])
+    metrics = trainer.evaluate(eval_dataset=dataset["test"])
     wer = metrics["eval_wer"]
 
     print(f"\n*** RESULTS ON {eval_dataset_cfg.dataset.name} ***")
@@ -45,14 +43,10 @@ def main(cfg: DictConfig) -> None:
 
 
 def preprocess_transcriptions(
-    dataset: DatasetDict | IterableDatasetDict,
-    processor: Processor,
-    text_column: str = "sentence",
+    dataset: DatasetDict | IterableDatasetDict, processor: Processor
 ) -> DatasetDict | IterableDatasetDict:
     def tokenize_examples(example: dict) -> dict:
-        example["labels"] = processor(
-            text=example[text_column], truncation=True
-        ).input_ids
+        example["labels"] = processor(text=example["text"], truncation=True).input_ids
         example["input_length"] = len(example["labels"])
         return example
 
@@ -60,6 +54,7 @@ def tokenize_examples(example: dict) -> dict:
 
     # After calling `map` the DatasetInfo is lost, so we need to add it back in
     for split in dataset.keys():
+        mapped[split]._info = dataset[split]._info
         mapped[split]._info.features["labels"] = Sequence(
             feature=Value(dtype="int64"), length=-1
         )
diff --git a/tests/conftest.py b/tests/conftest.py
index abf498c9..92f6bba2 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -43,6 +43,10 @@ def cfg(request) -> Generator[DictConfig, None, None]:
             f"model={model}",
             f"datasets={datasets}",
             "fp16=false",
+            "batch_size=2",
+            "gradient_accumulation=1",
+            "max_steps=2",
+            "save_total_limit=0",
         ],
     )
 
diff --git a/tests/test_data.py b/tests/test_data.py
index e692feaa..1146dda4 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -5,7 +5,7 @@
 import pytest
 from datasets import DatasetDict, IterableDatasetDict
 
-from coral_models.data import clean_transcription
+from coral_models.data import clean_example
 
 
 class TestLoadData:
@@ -29,7 +29,7 @@ def test_train_samples(self, dataset, cfg) -> None:
             ]
 
 
-class TestCleanTranscription:
+class TestCleanExample:
     transcription = "\nThis is a (test) [sentence]\u0301 with \n{aa} and ğ. "
 
     empty_regex = re.compile(r"")
@@ -110,16 +110,17 @@ class TestCleanTranscription:
             ),
         ],
     )
-    def test_clean_transcription(
+    def test_clean_example(
         self,
         transcription: str,
         non_standard_characters_regex: re.Pattern[str],
         conversion_dict: dict[str, str],
         expected: str,
     ) -> None:
-        cleaned_transcription = clean_transcription(
-            doc=transcription,
+        example = dict(text=transcription)
+        cleaned_transcription = clean_example(
+            example=example,
             non_standard_characters_regex=non_standard_characters_regex,
             conversion_dict=conversion_dict,
-        )
+        )["text"]
         assert cleaned_transcription == expected
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 1b328fd6..6b2c7703 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,10 +1,8 @@
 """Unit tests for the `utils` module."""
 
-import warnings
-
 import datasets.utils.logging as ds_logging
-import transformers.utils.logging as hf_logging
 from datasets.utils import enable_progress_bar
+import transformers.utils.logging as hf_logging
 
 from coral_models.utils import block_terminal_output, transformers_output_ignored
 
@@ -17,35 +15,25 @@ def __enter__(self) -> None:
 
     def __exit__(self, exc_type, exc_val, exc_tb) -> None:
         ds_logging.set_verbosity_warning()
-        warnings.filterwarnings("default", category=UserWarning)
         enable_progress_bar()
 
 
 class TestBlockTerminalOutput:
-    def test_user_warnings_are_ignored(self) -> None:
-        # Check that user warnings are raised by default
-        with warnings.catch_warnings(record=True) as w:
-            warnings.warn("This is a user warning", category=UserWarning)
-            assert len(w) == 1
-
-        # Check that user warnings are ignored after `block_terminal_output` is called
-        with output_blocked():
-            with warnings.catch_warnings(record=True) as w:
-                warnings.warn("This is a user warning", category=UserWarning)
-                assert len(w) == 0
-
     def test_datasets_logging_level_is_error(self) -> None:
+        ds_logging.set_verbosity_warning()
         assert ds_logging.get_verbosity() == ds_logging.WARNING
         with output_blocked():
             assert ds_logging.get_verbosity() == ds_logging.ERROR
 
     def test_datasets_progress_bars_are_disabled(self) -> None:
+        enable_progress_bar()
         assert ds_logging.is_progress_bar_enabled()
         with output_blocked():
             assert not ds_logging.is_progress_bar_enabled()
 
 
 def test_transformers_output_ignored() -> None:
+    hf_logging.set_verbosity_info()
     assert hf_logging.get_verbosity() == hf_logging.INFO
     with transformers_output_ignored():
         assert hf_logging.get_verbosity() == hf_logging.ERROR