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ninagroot/GPT2-705Mtest

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README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 8.4040
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  ## Model description
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@@ -41,17 +41,22 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 50
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- - num_epochs: 7
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.6206 | 0.57 | 1 | 9.6212 |
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- | 8.0141 | 1.71 | 3 | 9.3085 |
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- | 7.7709 | 2.86 | 5 | 7.8544 |
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- | 8.4543 | 4.0 | 7 | 8.4040 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.2081
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 9.6439 | 0.57 | 1 | 9.6409 |
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+ | 8.0775 | 1.71 | 3 | 9.6248 |
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+ | 8.2418 | 2.86 | 5 | 8.7251 |
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+ | 7.6995 | 4.0 | 7 | 8.0438 |
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+ | 7.4715 | 4.57 | 8 | 8.1243 |
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+ | 7.7918 | 5.71 | 10 | 7.7544 |
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+ | 7.1086 | 6.86 | 12 | 7.4231 |
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+ | 6.7919 | 8.0 | 14 | 7.1621 |
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+ | 6.4626 | 8.57 | 15 | 7.2081 |
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  ### Framework versions
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