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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: 1.8529 |
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- Wer: 0.9977 |
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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: 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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| 3.5506 | 2.8 | 2500 | 4.4928 | 1.8772 | |
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| 0.5145 | 5.61 | 5000 | 1.8942 | 1.1063 | |
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| 0.2736 | 8.41 | 7500 | 1.6550 | 1.0372 | |
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| 0.0807 | 11.21 | 10000 | 1.7601 | 1.0004 | |
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| 0.0439 | 14.01 | 12500 | 1.8014 | 1.0022 | |
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| 0.043 | 16.82 | 15000 | 1.8534 | 1.0097 | |
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| 0.0434 | 19.62 | 17500 | 1.8529 | 0.9977 | |
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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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