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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-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: openai/whisper-base |
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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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# openai/whisper-base |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/ChiMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3748 |
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- Cer: 30.8155 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.8187 | 1.0 | 161 | 1.0315 | 58.4225 | |
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| 0.4746 | 2.0 | 322 | 1.0785 | 42.6025 | |
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| 0.29 | 3.0 | 483 | 1.1087 | 44.8752 | |
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| 0.1474 | 4.0 | 644 | 1.2218 | 34.2914 | |
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| 0.0994 | 5.0 | 805 | 1.2465 | 55.9269 | |
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| 0.0779 | 6.0 | 966 | 1.3060 | 36.7201 | |
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| 0.0549 | 7.0 | 1127 | 1.3262 | 32.8877 | |
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| 0.0504 | 8.0 | 1288 | 1.3147 | 38.2353 | |
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| 0.032 | 9.0 | 1449 | 1.4272 | 34.0686 | |
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| 0.0283 | 10.0 | 1610 | 1.3575 | 31.7513 | |
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| 0.0244 | 11.0 | 1771 | 1.3715 | 33.2442 | |
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| 0.0131 | 12.0 | 1932 | 1.3905 | 32.4198 | |
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| 0.0111 | 13.0 | 2093 | 1.3886 | 33.7344 | |
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| 0.0072 | 14.0 | 2254 | 1.3618 | 36.1854 | |
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| 0.0015 | 15.0 | 2415 | 1.3707 | 31.2166 | |
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| 0.0027 | 16.0 | 2576 | 1.3733 | 30.6373 | |
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| 0.0007 | 17.0 | 2737 | 1.3673 | 31.3503 | |
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| 0.0004 | 18.0 | 2898 | 1.3741 | 30.8824 | |
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| 0.0003 | 19.0 | 3059 | 1.3739 | 30.7709 | |
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| 0.0003 | 20.0 | 3220 | 1.3748 | 30.8155 | |
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### Framework versions |
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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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