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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: 6.5241
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  ## Model description
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@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 128
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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: 100
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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@@ -48,18 +48,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.57 | 1 | 9.7551 |
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- | No log | 1.71 | 3 | 8.5731 |
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- | No log | 2.86 | 5 | 8.3102 |
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- | No log | 4.0 | 7 | 7.8022 |
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- | No log | 4.57 | 8 | 7.8957 |
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- | No log | 5.71 | 10 | 7.6326 |
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- | No log | 6.86 | 12 | 7.1814 |
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- | No log | 8.0 | 14 | 7.1649 |
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- | No log | 8.57 | 15 | 7.2076 |
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- | No log | 9.71 | 17 | 6.8886 |
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- | No log | 10.86 | 19 | 6.7248 |
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- | 7.2482 | 11.43 | 20 | 6.5241 |
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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: 6.7483
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  ## Model description
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  - total_train_batch_size: 128
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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: 10
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.57 | 1 | 9.7849 |
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+ | No log | 1.71 | 3 | 10.0209 |
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+ | No log | 2.86 | 5 | 9.1360 |
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+ | No log | 4.0 | 7 | 7.9380 |
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+ | No log | 4.57 | 8 | 7.9329 |
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+ | No log | 5.71 | 10 | 7.3872 |
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+ | No log | 6.86 | 12 | 7.0699 |
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+ | No log | 8.0 | 14 | 6.8953 |
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+ | No log | 8.57 | 15 | 6.8165 |
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+ | No log | 9.71 | 17 | 6.7650 |
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+ | No log | 10.86 | 19 | 6.7507 |
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+ | 7.5456 | 11.43 | 20 | 6.7483 |
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  ### Framework versions
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