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--- |
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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_checkpoints2 |
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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_checkpoints2 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2958 |
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- Wer: 0.0880 |
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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: 24 |
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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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- training_steps: 4000 |
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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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| 0.0051 | 0.52 | 500 | 0.2561 | 1.0 | |
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| 0.0074 | 1.04 | 1000 | 0.2729 | 0.1058 | |
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| 0.0076 | 1.56 | 1500 | 0.2769 | 0.0959 | |
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| 0.003 | 2.08 | 2000 | 0.2745 | 0.0954 | |
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| 0.0027 | 2.6 | 2500 | 0.2838 | 0.0877 | |
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| 0.0021 | 3.12 | 3000 | 0.2883 | 0.0880 | |
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| 0.0021 | 3.64 | 3500 | 0.2938 | 0.0910 | |
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| 0.0018 | 4.16 | 4000 | 0.2958 | 0.0880 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.15.2 |
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