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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 superU |
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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 superU |
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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: 3.2716 |
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- Wer: 96.2441 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: 500 |
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- training_steps: 1000 |
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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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| 0.0 | 50.0 | 50 | 3.7169 | 94.3662 | |
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| 0.0 | 100.0 | 100 | 3.7773 | 102.3474 | |
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| 0.0 | 150.0 | 150 | 3.8105 | 102.3474 | |
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| 0.0 | 200.0 | 200 | 3.9007 | 101.8779 | |
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| 0.0028 | 250.0 | 250 | 3.2200 | 90.6103 | |
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| 0.0 | 300.0 | 300 | 3.1754 | 93.8967 | |
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| 0.0 | 350.0 | 350 | 3.1945 | 96.2441 | |
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| 0.0 | 400.0 | 400 | 3.2104 | 96.2441 | |
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| 0.0 | 450.0 | 450 | 3.2225 | 96.2441 | |
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| 0.0 | 500.0 | 500 | 3.2327 | 96.2441 | |
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| 0.0 | 550.0 | 550 | 3.2437 | 96.2441 | |
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| 0.0 | 600.0 | 600 | 3.2501 | 96.2441 | |
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| 0.0 | 650.0 | 650 | 3.2550 | 96.2441 | |
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| 0.0 | 700.0 | 700 | 3.2601 | 96.2441 | |
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| 0.0 | 750.0 | 750 | 3.2634 | 96.2441 | |
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| 0.0 | 800.0 | 800 | 3.2663 | 96.2441 | |
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| 0.0 | 850.0 | 850 | 3.2691 | 96.2441 | |
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| 0.0 | 900.0 | 900 | 3.2717 | 96.2441 | |
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| 0.0 | 950.0 | 950 | 3.2719 | 96.2441 | |
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| 0.0 | 1000.0 | 1000 | 3.2716 | 96.2441 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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