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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 |
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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-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-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 - DEFAULT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5418 |
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- Wer: 0.3991 |
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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: 32 |
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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: 200 |
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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 | 0.2278 | 200 | 2.7455 | 1.0 | |
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| No log | 0.4556 | 400 | 1.1437 | 0.7406 | |
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| 2.6988 | 0.6834 | 600 | 0.7286 | 0.5377 | |
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| 2.6988 | 0.9112 | 800 | 0.6604 | 0.4897 | |
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| 0.8304 | 1.1390 | 1000 | 0.5619 | 0.4339 | |
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| 0.8304 | 1.3667 | 1200 | 0.5692 | 0.4245 | |
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| 0.8304 | 1.5945 | 1400 | 0.5639 | 0.4210 | |
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| 0.71 | 1.8223 | 1600 | 0.5502 | 0.4186 | |
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| 0.71 | 2.0501 | 1800 | 0.5441 | 0.4073 | |
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| 0.6605 | 2.2779 | 2000 | 0.5418 | 0.3991 | |
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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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