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End of training

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  1. README.md +10 -6
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.3729
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  ## Model description
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@@ -43,16 +43,20 @@ The following hyperparameters were used during training:
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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: 1000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 40.0 | 250 | 1.0923 |
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- | 0.87 | 80.0 | 500 | 1.3174 |
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- | 0.87 | 120.0 | 750 | 1.3672 |
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- | 0.1748 | 160.0 | 1000 | 1.3729 |
 
 
 
 
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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