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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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tags: |
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- automatic-speech-recognition |
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- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-xlsr-53-ft-btb-ccv-cy |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wav2vec2-xlsr-53-ft-btb-ccv-cy |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5865 |
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- Wer: 0.4452 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 600 |
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- training_steps: 6000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 4.7051 | 0.0321 | 500 | 1.6562 | 0.9355 | |
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| 1.0362 | 0.0641 | 1000 | 1.1840 | 0.7978 | |
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| 0.811 | 0.0962 | 1500 | 1.0081 | 0.7175 | |
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| 0.6903 | 0.1283 | 2000 | 0.8935 | 0.6401 | |
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| 0.6238 | 0.1603 | 2500 | 0.8060 | 0.5849 | |
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| 0.5649 | 0.1924 | 3000 | 0.7770 | 0.5589 | |
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| 0.5309 | 0.2244 | 3500 | 0.7264 | 0.5327 | |
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| 0.4892 | 0.2565 | 4000 | 0.6865 | 0.5106 | |
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| 0.4521 | 0.2886 | 4500 | 0.6478 | 0.4861 | |
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| 0.4309 | 0.3206 | 5000 | 0.6222 | 0.4763 | |
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| 0.4055 | 0.3527 | 5500 | 0.5988 | 0.4526 | |
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| 0.3896 | 0.3848 | 6000 | 0.5865 | 0.4452 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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