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--- |
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license: apache-2.0 |
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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-small-toi |
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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-small-toi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1668 |
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- Wer: 63.5938 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 500 |
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- training_steps: 10000 |
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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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| 0.568 | 1.47 | 500 | 2.1883 | 72.0402 | |
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| 0.2614 | 2.95 | 1000 | 2.1071 | 67.1034 | |
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| 0.0811 | 4.42 | 1500 | 2.3456 | 67.5012 | |
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| 0.0383 | 5.9 | 2000 | 2.4961 | 67.9691 | |
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| 0.021 | 7.37 | 2500 | 2.6259 | 68.8348 | |
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| 0.0077 | 8.85 | 3000 | 2.6423 | 66.6823 | |
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| 0.0046 | 10.32 | 3500 | 2.8497 | 65.9336 | |
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| 0.0005 | 11.8 | 4000 | 2.8305 | 64.6467 | |
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| 0.0014 | 13.27 | 4500 | 2.9174 | 66.0739 | |
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| 0.0003 | 14.75 | 5000 | 2.9358 | 63.2663 | |
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| 0.0002 | 16.22 | 5500 | 2.9820 | 63.8278 | |
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| 0.0002 | 17.7 | 6000 | 3.0369 | 64.7403 | |
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| 0.0001 | 19.17 | 6500 | 3.0641 | 63.3832 | |
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| 0.0005 | 20.65 | 7000 | 3.0512 | 63.1493 | |
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| 0.0001 | 22.12 | 7500 | 3.0924 | 63.5002 | |
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| 0.0001 | 23.6 | 8000 | 3.1215 | 65.0679 | |
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| 0.0001 | 25.07 | 8500 | 3.1336 | 64.6233 | |
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| 0.0001 | 26.55 | 9000 | 3.1513 | 63.7108 | |
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| 0.0001 | 28.02 | 9500 | 3.1620 | 63.5938 | |
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| 0.0001 | 29.5 | 10000 | 3.1668 | 63.5938 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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