End of training
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README.md
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4898
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## Model description
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.4571 | 40.0 | 250 | 1.1032 |
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| 0.2487 | 80.0 | 500 | 1.3577 |
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| 0.1679 | 120.0 | 750 | 1.4287 |
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| 0.1586 | 160.0 | 1000 | 1.4562 |
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| 0.1544 | 200.0 | 1250 | 1.4729 |
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| 0.1521 | 240.0 | 1500 | 1.4843 |
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| 0.151 | 280.0 | 1750 | 1.4893 |
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| 0.1504 | 320.0 | 2000 | 1.4898 |
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### Framework versions
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