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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: '' |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5575 |
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- Wer: 0.5219 |
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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: 0.0003 |
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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: 8 |
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- total_train_batch_size: 64 |
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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: 400 |
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- num_epochs: 5.0 |
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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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| 2.3036 | 0.51 | 400 | 4.2199 | 0.9500 | |
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| 2.836 | 1.02 | 800 | 2.7748 | 1.2758 | |
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| 2.7021 | 1.53 | 1200 | 2.6211 | 1.1725 | |
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| 2.2322 | 2.04 | 1600 | 2.5714 | 1.1042 | |
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| 2.1435 | 2.55 | 2000 | 2.4205 | 1.0093 | |
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| 1.1205 | 3.06 | 2400 | 2.7612 | 0.9098 | |
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| 0.7821 | 3.57 | 2800 | 2.2900 | 0.8478 | |
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| 1.0018 | 4.08 | 3200 | 0.7970 | 0.6275 | |
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| 0.6312 | 4.59 | 3600 | 0.5575 | 0.5219 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.18.1 |
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- Tokenizers 0.11.0 |
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