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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-tiny |
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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-tiny |
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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-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/ChiMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5036 |
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- Cer: 34.0018 |
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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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| 0.9949 | 1.0 | 161 | 1.1720 | 86.6756 | |
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| 0.6345 | 2.0 | 322 | 1.2101 | 74.7772 | |
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| 0.4273 | 3.0 | 483 | 1.2770 | 42.6025 | |
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| 0.2435 | 4.0 | 644 | 1.3652 | 44.5856 | |
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| 0.1437 | 5.0 | 805 | 1.4654 | 50.7353 | |
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| 0.097 | 6.0 | 966 | 1.4137 | 53.5873 | |
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| 0.0808 | 7.0 | 1127 | 1.4085 | 42.1569 | |
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| 0.049 | 8.0 | 1288 | 1.4790 | 38.6586 | |
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| 0.0392 | 9.0 | 1449 | 1.5276 | 40.6640 | |
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| 0.0283 | 10.0 | 1610 | 1.4854 | 42.5802 | |
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| 0.0164 | 11.0 | 1771 | 1.5004 | 39.7727 | |
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| 0.0126 | 12.0 | 1932 | 1.5267 | 41.9118 | |
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| 0.0124 | 13.0 | 2093 | 1.5349 | 36.7870 | |
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| 0.0061 | 14.0 | 2254 | 1.5172 | 35.6061 | |
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| 0.0018 | 15.0 | 2415 | 1.5075 | 34.0909 | |
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| 0.0032 | 16.0 | 2576 | 1.5066 | 34.5365 | |
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| 0.001 | 17.0 | 2737 | 1.4948 | 33.6453 | |
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| 0.0007 | 18.0 | 2898 | 1.5060 | 34.3137 | |
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| 0.0005 | 19.0 | 3059 | 1.5030 | 34.2246 | |
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| 0.0005 | 20.0 | 3220 | 1.5036 | 34.0018 | |
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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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