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CFcontract_llama3.1-8B

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@@ -19,6 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # CFcontract_llama3.1-8B
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  This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the generator dataset.
 
 
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  ## Model description
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@@ -46,14 +48,14 @@ 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: constant
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  - lr_scheduler_warmup_ratio: 0.03
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- - training_steps: 5
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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 | 0.0000 | 5 | 1.6285 |
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  ### Framework versions
 
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  # CFcontract_llama3.1-8B
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  This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3447
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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: constant
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  - lr_scheduler_warmup_ratio: 0.03
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+ - training_steps: 5000
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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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+ | 1.2926 | 0.0349 | 5000 | 1.3447 |
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  ### Framework versions