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--- |
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library_name: transformers |
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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: whisper-small-nomi |
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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-nomi |
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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: 0.0000 |
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- Wer: 0.6383 |
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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: 0.0004 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 132 |
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- num_epochs: 30 |
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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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| 1.4305 | 1.9417 | 100 | 0.1954 | 36.8085 | |
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| 0.3179 | 3.8835 | 200 | 0.1760 | 71.7021 | |
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| 0.1876 | 5.8252 | 300 | 0.2092 | 24.4681 | |
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| 0.1377 | 7.7670 | 400 | 0.1063 | 23.1915 | |
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| 0.0933 | 9.7087 | 500 | 0.0556 | 7.8723 | |
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| 0.0713 | 11.6505 | 600 | 0.0556 | 9.5745 | |
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| 0.0548 | 13.5922 | 700 | 0.0289 | 5.1064 | |
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| 0.0436 | 15.5340 | 800 | 0.0330 | 3.6170 | |
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| 0.0258 | 17.4757 | 900 | 0.0041 | 0.8511 | |
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| 0.0094 | 19.4175 | 1000 | 0.0072 | 2.1277 | |
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| 0.0047 | 21.3592 | 1100 | 0.0001 | 1.7021 | |
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| 0.001 | 23.3010 | 1200 | 0.0001 | 0.8511 | |
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| 0.0 | 25.2427 | 1300 | 0.0000 | 0.6383 | |
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| 0.0 | 27.1845 | 1400 | 0.0000 | 0.6383 | |
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| 0.0 | 29.1262 | 1500 | 0.0000 | 0.6383 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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