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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: hubert-base-libri-pruning-v2-testing4-final |
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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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# hubert-base-libri-pruning-v2-testing4-final |
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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: 2.5133 |
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- Wer: 0.9962 |
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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: 5e-05 |
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- train_batch_size: 64 |
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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: 1000 |
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- num_epochs: 10 |
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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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| 9.0283 | 1.12 | 500 | 11.2288 | 1.0 | |
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| 6.3979 | 2.24 | 1000 | 7.1301 | 0.9999 | |
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| 4.2992 | 3.36 | 1500 | 4.9714 | 0.9993 | |
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| 3.5827 | 4.48 | 2000 | 4.3086 | 0.9993 | |
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| 3.2057 | 5.61 | 2500 | 3.7872 | 0.9991 | |
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| 2.8439 | 6.73 | 3000 | 3.2309 | 0.9986 | |
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| 2.5046 | 7.85 | 3500 | 2.7973 | 0.9976 | |
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| 2.2656 | 8.97 | 4000 | 2.5133 | 0.9962 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.1.dev0 |
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- Tokenizers 0.13.3 |
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