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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: Model_G_S_P_Wav2Vec2 |
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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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# Model_G_S_P_Wav2Vec2 |
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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: 2.4856 |
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- Wer: 0.5755 |
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- Cer: 0.2446 |
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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: 16 |
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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: 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: 500 |
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- num_epochs: 30 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 1.0588 | 4.17 | 400 | 1.7492 | 0.6409 | 0.2597 | |
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| 0.5411 | 8.33 | 800 | 2.0539 | 0.6467 | 0.2779 | |
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| 0.403 | 12.5 | 1200 | 2.0300 | 0.6500 | 0.2674 | |
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| 0.2896 | 16.67 | 1600 | 2.0923 | 0.6024 | 0.2544 | |
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| 0.2176 | 20.83 | 2000 | 2.1371 | 0.5763 | 0.2449 | |
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| 0.1557 | 25.0 | 2400 | 2.3540 | 0.5906 | 0.2505 | |
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| 0.1089 | 29.17 | 2800 | 2.4856 | 0.5755 | 0.2446 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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