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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: 5.3544
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  ## Model description
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@@ -36,24 +36,21 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 32
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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: 6
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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 | 1.0 | 7 | 7.8584 |
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- | No log | 2.0 | 14 | 7.0791 |
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- | 7.2479 | 3.0 | 21 | 6.6600 |
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- | 7.2479 | 4.0 | 28 | 6.1304 |
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- | 7.2479 | 5.0 | 35 | 5.6312 |
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- | 4.9652 | 6.0 | 42 | 5.3544 |
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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: 8.4951
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  ## Model description
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 8
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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: 4
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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 | 0.57 | 1 | 9.7287 |
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+ | No log | 1.71 | 3 | 8.6584 |
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+ | No log | 2.29 | 4 | 8.4951 |
 
 
 
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  ### Framework versions
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