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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-nomimo-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-nomimo-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: 0.0311 |
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- Wer: 32.3302 |
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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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| 0.9712 | 1.0 | 104 | 0.0786 | 25.0 | |
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| 3.0599 | 2.0 | 208 | 0.7840 | 3312.3457 | |
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| 0.3714 | 3.0 | 312 | 0.2694 | 98.3796 | |
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| 0.2625 | 4.0 | 416 | 0.2197 | 90.9722 | |
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| 0.2298 | 5.0 | 520 | 0.2035 | 84.9537 | |
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| 0.1929 | 6.0 | 624 | 0.1519 | 66.0494 | |
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| 0.1086 | 7.0 | 728 | 0.0641 | 41.6667 | |
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| 0.0401 | 8.0 | 832 | 0.0421 | 41.6667 | |
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| 0.0231 | 9.0 | 936 | 0.0324 | 34.8765 | |
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| 0.0119 | 10.0 | 1040 | 0.0310 | 34.7222 | |
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| 0.0057 | 10.8986 | 1133 | 0.0311 | 32.3302 | |
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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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