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--- |
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library_name: transformers |
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language: |
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- en |
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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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- accuracy |
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model-index: |
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- name: whisper-small-English |
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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-English |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4278 |
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- Accuracy: 22.4848 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.1469 | 0.4 | 100 | 0.3931 | 20.8666 | |
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| 0.1704 | 0.8 | 200 | 0.3690 | 20.5089 | |
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| 0.1317 | 1.2 | 300 | 0.3650 | 20.4210 | |
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| 0.1323 | 1.6 | 400 | 0.3659 | 21.3649 | |
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| 0.131 | 2.0 | 500 | 0.3675 | 21.1480 | |
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| 0.0662 | 2.4 | 600 | 0.4080 | 21.8105 | |
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| 0.0678 | 2.8 | 700 | 0.3958 | 22.5199 | |
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| 0.028 | 3.2 | 800 | 0.4290 | 22.0216 | |
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| 0.0313 | 3.6 | 900 | 0.4195 | 22.4496 | |
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| 0.032 | 4.0 | 1000 | 0.4278 | 22.4848 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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