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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- librispeech_asr |
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model-index: |
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- name: '' |
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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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# |
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This model was trained from scratch on the librispeech_asr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.2346 |
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- Wer: 1.9971 |
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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: 0.001 |
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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: 3.0 |
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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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| 5.4068 | 0.28 | 500 | 6.0935 | 1.9428 | |
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| 5.609 | 0.56 | 1000 | 6.0302 | 1.9717 | |
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| 5.5664 | 0.84 | 1500 | 5.6938 | 2.0066 | |
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| 4.9162 | 1.12 | 2000 | 5.6412 | 1.9733 | |
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| 4.9413 | 1.4 | 2500 | 5.5066 | 1.9556 | |
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| 4.7653 | 1.68 | 3000 | 5.3775 | 1.9548 | |
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| 4.566 | 1.96 | 3500 | 5.2843 | 1.9802 | |
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| 4.4488 | 2.24 | 4000 | 5.3816 | 1.9657 | |
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| 3.9933 | 2.52 | 4500 | 5.2800 | 1.9741 | |
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| 3.8714 | 2.8 | 5000 | 5.2346 | 1.9971 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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