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End of training

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  1. README.md +83 -0
  2. generation_config.json +264 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - zh
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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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: openai/whisper-small
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+ results: []
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+ ---
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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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+
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+ # openai/whisper-small
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/ChiMed dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1189
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+ - Wer: 80.7466
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+ - Cer: 23.1952
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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: 100
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
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+ | 0.6947 | 1.0 | 161 | 0.8771 | 224.7544 | 75.6462 |
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+ | 0.3688 | 2.0 | 322 | 0.8461 | 107.2692 | 32.0187 |
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+ | 0.2168 | 3.0 | 483 | 0.9040 | 84.8723 | 26.0472 |
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+ | 0.1117 | 4.0 | 644 | 0.9532 | 90.5697 | 28.1640 |
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+ | 0.0928 | 5.0 | 805 | 0.9663 | 89.7839 | 28.2977 |
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+ | 0.0672 | 6.0 | 966 | 1.0584 | 87.2299 | 31.1275 |
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+ | 0.0534 | 7.0 | 1127 | 1.0810 | 86.4440 | 28.5651 |
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+ | 0.0443 | 8.0 | 1288 | 1.0709 | 83.8900 | 29.1889 |
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+ | 0.0415 | 9.0 | 1449 | 1.0984 | 85.0688 | 26.4929 |
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+ | 0.0198 | 10.0 | 1610 | 1.1180 | 89.9804 | 27.3841 |
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+ | 0.0182 | 11.0 | 1771 | 1.0824 | 86.4440 | 27.1613 |
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+ | 0.0116 | 12.0 | 1932 | 1.1320 | 85.6582 | 26.1809 |
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+ | 0.0107 | 13.0 | 2093 | 1.1042 | 82.5147 | 24.6658 |
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+ | 0.0075 | 14.0 | 2254 | 1.1034 | 80.9430 | 24.5989 |
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+ | 0.0021 | 15.0 | 2415 | 1.0967 | 78.9784 | 23.3734 |
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+ | 0.0003 | 16.0 | 2576 | 1.1061 | 81.1395 | 23.4848 |
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+ | 0.0002 | 17.0 | 2737 | 1.1144 | 81.1395 | 23.5294 |
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+ | 0.0002 | 18.0 | 2898 | 1.1173 | 81.1395 | 23.3957 |
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+ | 0.0004 | 19.0 | 3059 | 1.1184 | 80.7466 | 23.1506 |
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+ | 0.0003 | 20.0 | 3220 | 1.1189 | 80.7466 | 23.1952 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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