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--- |
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library_name: transformers |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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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: whisper-medium-CAENNAIS |
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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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# whisper-medium-CAENNAIS |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5740 |
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- Wer: 26.7396 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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 | 1.0 | 56 | 0.7664 | 33.4990 | |
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| No log | 2.0 | 112 | 0.4936 | 28.0649 | |
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| No log | 3.0 | 168 | 0.4702 | 23.7906 | |
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| No log | 4.0 | 224 | 0.4987 | 28.4957 | |
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| No log | 5.0 | 280 | 0.4999 | 23.7575 | |
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| No log | 6.0 | 336 | 0.5567 | 25.3810 | |
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| No log | 7.0 | 392 | 0.5685 | 23.4924 | |
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| No log | 8.0 | 448 | 0.5738 | 25.0497 | |
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| 0.3662 | 9.0 | 504 | 0.6081 | 24.6852 | |
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| 0.3662 | 10.0 | 560 | 0.5740 | 26.7396 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.0 |
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