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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: 5.5908
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  ## Model description
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@@ -41,31 +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: 20
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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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- | No log | 0.86 | 3 | 8.2842 |
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- | No log | 2.0 | 7 | 8.0518 |
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- | No log | 2.86 | 10 | 8.2219 |
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- | No log | 4.0 | 14 | 7.1930 |
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- | No log | 4.86 | 17 | 6.8112 |
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- | 7.2488 | 6.0 | 21 | 6.4425 |
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- | 7.2488 | 6.86 | 24 | 6.2270 |
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- | 7.2488 | 8.0 | 28 | 5.9215 |
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- | 7.2488 | 8.86 | 31 | 5.8162 |
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- | 7.2488 | 10.0 | 35 | 5.5886 |
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- | 7.2488 | 10.86 | 38 | 5.4977 |
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- | 4.6863 | 12.0 | 42 | 5.4080 |
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- | 4.6863 | 12.86 | 45 | 5.4362 |
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- | 4.6863 | 14.0 | 49 | 5.4796 |
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- | 4.6863 | 14.86 | 52 | 5.5755 |
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- | 4.6863 | 16.0 | 56 | 5.6143 |
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- | 4.6863 | 16.86 | 59 | 5.5946 |
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- | 3.1785 | 17.14 | 60 | 5.5908 |
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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: 5.6397
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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: 10
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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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+ | No log | 0.86 | 3 | 9.7177 |
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+ | No log | 2.0 | 7 | 7.8263 |
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+ | No log | 2.86 | 10 | 7.2736 |
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+ | No log | 4.0 | 14 | 6.7730 |
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+ | No log | 4.86 | 17 | 6.5121 |
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+ | 6.9876 | 6.0 | 21 | 6.4014 |
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+ | 6.9876 | 6.86 | 24 | 6.0611 |
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+ | 6.9876 | 8.0 | 28 | 5.6288 |
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+ | 6.9876 | 8.57 | 30 | 5.6397 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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