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End of training

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README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1427
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  ## Model description
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@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - training_steps: 200
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  ### Training results
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@@ -58,6 +58,14 @@ The following hyperparameters were used during training:
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  | 2.1753 | 0.05 | 150 | 2.4039 |
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  | 2.1433 | 0.06 | 175 | 2.3947 |
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  | 2.3055 | 0.06 | 200 | 2.3859 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1220
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  ## Model description
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 400
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  ### Training results
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  | 2.1753 | 0.05 | 150 | 2.4039 |
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  | 2.1433 | 0.06 | 175 | 2.3947 |
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  | 2.3055 | 0.06 | 200 | 2.3859 |
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+ | 2.2679 | 0.07 | 225 | 2.3842 |
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+ | 2.2177 | 0.08 | 250 | 2.3817 |
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+ | 2.1572 | 0.09 | 275 | 2.3830 |
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+ | 2.1926 | 0.1 | 300 | 2.3829 |
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+ | 2.2406 | 0.1 | 325 | 2.3817 |
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+ | 2.21 | 0.11 | 350 | 2.3771 |
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+ | 2.1296 | 0.12 | 375 | 2.3797 |
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+ | 2.232 | 0.13 | 400 | 2.3764 |
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  ### Framework versions
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