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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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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-base-medical-demo |
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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-base-medical-demo |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4566 |
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- Wer: 0.2256 |
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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: 0.0001 |
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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: 1000 |
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- num_epochs: 30 |
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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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| 4.045 | 3.97 | 500 | 3.0058 | 0.9895 | |
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| 1.762 | 7.94 | 1000 | 0.5449 | 0.3923 | |
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| 0.3363 | 11.9 | 1500 | 0.3889 | 0.2890 | |
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| 0.173 | 15.87 | 2000 | 0.3992 | 0.2524 | |
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| 0.1127 | 19.84 | 2500 | 0.4172 | 0.2375 | |
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| 0.0805 | 23.81 | 3000 | 0.4576 | 0.2291 | |
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| 0.0648 | 27.78 | 3500 | 0.4566 | 0.2256 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.1+cpu |
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- Datasets 2.14.6.dev0 |
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- Tokenizers 0.14.1 |
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