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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: 0.8384 |
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- Wer: 0.1367 |
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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: 3e-05 |
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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: 4 |
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- total_train_batch_size: 32 |
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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: 20.0 |
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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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| 6.2245 | 1.68 | 1500 | 6.1442 | 1.5986 | |
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| 5.4521 | 3.36 | 3000 | 5.4335 | 1.6439 | |
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| 3.3659 | 5.04 | 4500 | 3.6455 | 0.6503 | |
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| 1.5724 | 6.73 | 6000 | 2.3554 | 0.3386 | |
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| 1.4759 | 8.41 | 7500 | 1.7423 | 0.2889 | |
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| 1.0826 | 10.09 | 9000 | 1.3818 | 0.2209 | |
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| 0.6769 | 11.77 | 10500 | 1.1268 | 0.1737 | |
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| 0.7348 | 13.45 | 12000 | 0.9990 | 0.1575 | |
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| 0.5419 | 15.13 | 13500 | 0.9435 | 0.1560 | |
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| 0.4212 | 16.82 | 15000 | 0.8678 | 0.1405 | |
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| 0.3805 | 18.5 | 16500 | 0.8384 | 0.1367 | |
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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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