| --- |
| license: apache-2.0 |
| base_model: PThi35/whisper_medium_phase2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper_medium_phase2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # whisper_medium_phase2 |
|
|
| This model is a fine-tuned version of [PThi35/whisper_medium_phase2](https://huggingface.co/PThi35/whisper_medium_phase2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8362 |
| - Cer: 18.6667 |
| - Wer: 29.4586 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 8 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
| |:-------------:|:------:|:-----:|:-------:|:---------------:|:-------:| |
| | 0.5275 | 0.9999 | 4709 | 22.0874 | 0.7764 | 35.0416 | |
| | 0.5415 | 2.0 | 9419 | 20.0444 | 0.7521 | 31.8854 | |
| | 0.4568 | 2.9999 | 14128 | 19.6955 | 0.7660 | 30.9815 | |
| | 0.3943 | 4.0 | 18838 | 19.4005 | 0.7752 | 30.7362 | |
| | 0.3481 | 4.9995 | 23545 | 18.6947 | 0.7911 | 29.7321 | |
| | 0.351 | 5.9999 | 28254 | 0.8078 | 18.9302 | 29.9617 | |
| | 0.3149 | 7.0 | 32964 | 0.8259 | 18.9425 | 29.8582 | |
| | 0.2879 | 7.9997 | 37672 | 0.8362 | 18.6667 | 29.4586 | |
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| ### Framework versions |
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|
| - Transformers 4.41.2 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
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|
