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--- |
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language: |
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- en |
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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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metrics: |
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- wer |
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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/EngMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4853 |
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- Wer: 66.7045 |
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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 | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 1.2768 | 1.0 | 2506 | 1.8614 | 66.7187 | |
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| 0.9077 | 2.0 | 5012 | 1.9243 | 66.6383 | |
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| 0.6044 | 3.0 | 7518 | 2.0816 | 71.3474 | |
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| 0.4112 | 4.0 | 10024 | 2.2672 | 69.5064 | |
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| 0.2788 | 5.0 | 12530 | 2.4746 | 65.6728 | |
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| 0.1736 | 6.0 | 15036 | 2.6423 | 68.1196 | |
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| 0.096 | 7.0 | 17542 | 2.7603 | 66.7897 | |
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| 0.0632 | 8.0 | 20048 | 2.9008 | 68.4746 | |
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| 0.046 | 9.0 | 22554 | 3.0145 | 69.8850 | |
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| 0.0338 | 10.0 | 25060 | 3.0977 | 66.8749 | |
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| 0.0203 | 11.0 | 27566 | 3.1614 | 67.5186 | |
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| 0.0207 | 12.0 | 30072 | 3.2117 | 65.2847 | |
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| 0.011 | 13.0 | 32578 | 3.3028 | 66.4253 | |
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| 0.007 | 14.0 | 35084 | 3.3854 | 68.1102 | |
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| 0.0071 | 15.0 | 37590 | 3.3962 | 66.8702 | |
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| 0.0041 | 16.0 | 40096 | 3.4312 | 66.8323 | |
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| 0.0043 | 17.0 | 42602 | 3.4244 | 66.5294 | |
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| 0.0036 | 18.0 | 45108 | 3.4340 | 66.8512 | |
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| 0.0019 | 19.0 | 47614 | 3.4810 | 67.6558 | |
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| 0.0003 | 20.0 | 50120 | 3.4853 | 66.7045 | |
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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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