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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-large |
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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: w_large |
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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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# w_large |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7156 |
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- Wer: 66.4973 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 4 |
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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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| 0.7439 | 0.4548 | 1000 | 0.7228 | 107.9816 | |
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| 0.6638 | 0.9095 | 2000 | 0.6496 | 82.4336 | |
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| 0.413 | 1.3643 | 3000 | 0.6292 | 76.3384 | |
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| 0.4303 | 1.8190 | 4000 | 0.6144 | 69.9421 | |
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| 0.3339 | 2.2738 | 5000 | 0.6557 | 71.5521 | |
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| 0.3224 | 2.7285 | 6000 | 0.6553 | 63.5360 | |
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| 0.1991 | 3.1833 | 7000 | 0.7058 | 64.2753 | |
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| 0.1752 | 3.6380 | 8000 | 0.7156 | 66.4973 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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