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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: 0.7177 |
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- Wer: 0.1283 |
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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: 25.0 |
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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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| 6.1228 | 1.68 | 1500 | 6.0490 | 1.1433 | |
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| 5.4173 | 3.36 | 3000 | 5.3453 | 1.4878 | |
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| 4.1635 | 5.04 | 4500 | 4.4185 | 0.9644 | |
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| 2.1246 | 6.73 | 6000 | 3.2089 | 0.5026 | |
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| 1.88 | 8.41 | 7500 | 1.9886 | 0.3438 | |
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| 1.2606 | 10.09 | 9000 | 1.4472 | 0.2487 | |
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| 0.7492 | 11.77 | 10500 | 1.1716 | 0.1949 | |
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| 0.8868 | 13.45 | 12000 | 1.0146 | 0.1702 | |
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| 0.5078 | 15.13 | 13500 | 0.8821 | 0.1548 | |
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| 0.4515 | 16.82 | 15000 | 0.8181 | 0.1417 | |
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| 0.3902 | 18.5 | 16500 | 0.7765 | 0.1364 | |
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| 0.3575 | 20.18 | 18000 | 0.7367 | 0.1333 | |
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| 0.2903 | 21.86 | 19500 | 0.7211 | 0.1301 | |
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| 0.2698 | 23.54 | 21000 | 0.7177 | 0.1283 | |
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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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