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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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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: 2.5098 |
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- Wer: 0.5366 |
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- Cer: 0.2277 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 1.0449 | 3.49 | 400 | 1.7576 | 0.6270 | 0.2607 | |
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| 0.484 | 6.99 | 800 | 1.8072 | 0.6043 | 0.2536 | |
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| 0.3335 | 10.48 | 1200 | 2.0222 | 0.5892 | 0.2500 | |
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| 0.2559 | 13.97 | 1600 | 2.4174 | 0.5719 | 0.2448 | |
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| 0.1999 | 17.47 | 2000 | 2.2888 | 0.5566 | 0.2376 | |
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| 0.1546 | 20.96 | 2400 | 2.5271 | 0.5753 | 0.2400 | |
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| 0.1225 | 24.45 | 2800 | 2.4489 | 0.5427 | 0.2327 | |
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| 0.0983 | 27.95 | 3200 | 2.5098 | 0.5366 | 0.2277 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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