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README.md
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This model is a fine-tuned version of [scasutt/Prototype_training](https://huggingface.co/scasutt/Prototype_training) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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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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- 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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.5148 | 2.21 | 300 | 0.6362 | 0.6681 |
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| 0.4727 | 2.94 | 400 | 0.6537 | 0.6711 |
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| 0.4415 | 3.68 | 500 | 0.6686 | 0.6639 |
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### Framework versions
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This model is a fine-tuned version of [scasutt/Prototype_training](https://huggingface.co/scasutt/Prototype_training) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5002
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- Wer: 0.5111
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## Model description
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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: 1000
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 6.7314 | 1.47 | 100 | 2.9310 | 0.9983 |
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| 1.8053 | 2.94 | 200 | 0.5002 | 0.5111 |
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### Framework versions
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