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README.md
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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_P
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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_P
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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: 2.4719
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- Wer: 0.5613
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- Cer: 0.2386
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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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| 0.447 | 4.17 | 400 | 2.1407 | 0.6004 | 0.2516 |
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| 0.4338 | 8.33 | 800 | 2.1920 | 0.6033 | 0.2505 |
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| 0.3209 | 12.5 | 1200 | 2.2978 | 0.6089 | 0.2601 |
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| 0.2327 | 16.67 | 1600 | 2.3510 | 0.5871 | 0.2459 |
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| 0.1735 | 20.83 | 2000 | 2.3828 | 0.5890 | 0.2480 |
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| 0.1344 | 25.0 | 2400 | 2.3782 | 0.5647 | 0.2399 |
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| 0.0909 | 29.17 | 2800 | 2.4719 | 0.5613 | 0.2386 |
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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 1.18.3
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- Tokenizers 0.13.3
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