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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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: Sep26-Mixat-whisper-lg-3-transcript |
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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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# Sep26-Mixat-whisper-lg-3-transcript |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7722 |
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- Wer: 40.9156 |
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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: 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: 500 |
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- num_epochs: 100 |
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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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| 0.7871 | 0.4292 | 100 | 0.4161 | 34.9906 | |
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| 0.4974 | 0.8584 | 200 | 0.4319 | 33.8051 | |
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| 0.3796 | 1.2876 | 300 | 0.4348 | 39.1582 | |
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| 0.3711 | 1.7167 | 400 | 0.4504 | 38.4566 | |
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| 0.3527 | 2.1459 | 500 | 0.4676 | 41.7834 | |
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| 0.2699 | 2.5751 | 600 | 0.4600 | 37.4643 | |
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| 0.275 | 3.0043 | 700 | 0.4449 | 37.8945 | |
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| 0.1566 | 3.4335 | 800 | 0.5121 | 40.7568 | |
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| 0.1658 | 3.8627 | 900 | 0.5067 | 40.8252 | |
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| 0.1125 | 4.2918 | 1000 | 0.5469 | 41.1772 | |
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| 0.0913 | 4.7210 | 1100 | 0.5818 | 40.3803 | |
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| 0.0806 | 5.1502 | 1200 | 0.6051 | 41.2041 | |
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| 0.0519 | 5.5794 | 1300 | 0.5997 | 40.6908 | |
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| 0.0545 | 6.0086 | 1400 | 0.6158 | 41.0574 | |
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| 0.0323 | 6.4378 | 1500 | 0.6482 | 40.7617 | |
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| 0.034 | 6.8670 | 1600 | 0.6761 | 39.0140 | |
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| 0.0259 | 7.2961 | 1700 | 0.7324 | 42.2796 | |
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| 0.0249 | 7.7253 | 1800 | 0.7128 | 41.8616 | |
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| 0.021 | 8.1545 | 1900 | 0.7722 | 40.9156 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.4.1 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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