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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: timit-supervised |
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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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# timit-supervised |
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This model is a fine-tuned version of [Experiments/single_dataset/timit-supervised/checkpoint-3500](https://huggingface.co/Experiments/single_dataset/timit-supervised/checkpoint-3500) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1272 |
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- Wer: 0.0532 |
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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: 0.0001 |
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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: 1000 |
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- num_epochs: 20 |
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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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| 0.0554 | 1.77 | 500 | 0.1310 | 0.0697 | |
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| 0.0509 | 3.53 | 1000 | 0.1497 | 0.0710 | |
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| 0.038 | 5.3 | 1500 | 0.1190 | 0.0659 | |
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| 0.0328 | 7.07 | 2000 | 0.0926 | 0.0596 | |
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| 0.0247 | 8.83 | 2500 | 0.0873 | 0.0570 | |
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| 0.0229 | 10.6 | 3000 | 0.0890 | 0.0532 | |
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| 0.0183 | 12.37 | 3500 | 0.0969 | 0.0532 | |
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| 0.0326 | 14.13 | 4000 | 0.0809 | 0.0469 | |
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| 0.03 | 15.9 | 4500 | 0.0758 | 0.0444 | |
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| 0.0264 | 17.67 | 5000 | 0.0973 | 0.0520 | |
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| 0.0244 | 19.43 | 5500 | 0.1272 | 0.0532 | |
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### Framework versions |
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- Transformers 4.14.1 |
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- Pytorch 1.10.2 |
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- Datasets 1.18.2 |
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- Tokenizers 0.10.3 |
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