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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: 1.5563 |
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- Wer: 0.8702 |
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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: 128 |
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- eval_batch_size: 8 |
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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: 500 |
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- training_steps: 2000 |
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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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| No log | 0.3096 | 100 | 3.5623 | 1.0 | |
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| No log | 0.6192 | 200 | 3.1175 | 1.0 | |
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| No log | 0.9288 | 300 | 3.2933 | 1.0 | |
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| No log | 1.2384 | 400 | 0.9765 | 0.6866 | |
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| 3.7398 | 1.5480 | 500 | 0.6787 | 0.4922 | |
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| 3.7398 | 1.8576 | 600 | 0.6015 | 0.4347 | |
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| 3.7398 | 2.1672 | 700 | 0.5699 | 0.4273 | |
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| 3.7398 | 2.4768 | 800 | 0.5419 | 0.3958 | |
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| 3.7398 | 2.7864 | 900 | 0.4971 | 0.3730 | |
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| 0.5228 | 3.0960 | 1000 | 0.4960 | 0.3543 | |
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| 0.5228 | 3.4056 | 1100 | 0.6977 | 0.4655 | |
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| 0.5228 | 3.7152 | 1200 | 0.7999 | 0.5316 | |
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| 0.5228 | 4.0248 | 1300 | 1.0526 | 0.6215 | |
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| 0.5228 | 4.3344 | 1400 | 1.1285 | 0.7572 | |
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| 0.9047 | 4.6440 | 1500 | 1.1593 | 0.7047 | |
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| 0.9047 | 4.9536 | 1600 | 2.0401 | 0.9667 | |
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| 0.9047 | 5.2632 | 1700 | 1.6264 | 0.8680 | |
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| 0.9047 | 5.5728 | 1800 | 1.5916 | 0.8627 | |
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| 0.9047 | 5.8824 | 1900 | 1.5764 | 0.8720 | |
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| 1.6715 | 6.1920 | 2000 | 1.5563 | 0.8702 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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