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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-a-nomi-ls |
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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-a-nomi-ls |
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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: 0.0301 |
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- Wer: 97.3190 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 132 |
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- num_epochs: 11 |
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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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| No log | 1.0 | 88 | 0.2173 | 32.7078 | |
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| 0.9256 | 2.0 | 176 | 0.0358 | 13.6729 | |
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| 0.1103 | 3.0 | 264 | 0.1075 | 45.6658 | |
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| 0.0399 | 4.0 | 352 | 0.0939 | 68.9008 | |
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| 0.0319 | 5.0 | 440 | 0.0241 | 19.1242 | |
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| 0.0144 | 6.0 | 528 | 0.0252 | 18.2306 | |
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| 0.01 | 7.0 | 616 | 0.0300 | 99.3744 | |
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| 0.0023 | 8.0 | 704 | 0.0268 | 97.9446 | |
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| 0.0023 | 9.0 | 792 | 0.0301 | 97.3190 | |
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| 0.0003 | 10.0 | 880 | 0.0301 | 97.3190 | |
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| 0.0 | 11.0 | 968 | 0.0301 | 97.3190 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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