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codeLlama-7b

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README.md CHANGED
@@ -5,16 +5,16 @@ tags:
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  - generated_from_trainer
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  base_model: codellama/CodeLlama-7b-hf
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  model-index:
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- - name: codellma-7b
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # codellma-7b
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- This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the Nan-Do/code-search-net-java dataset.
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  ## Model description
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@@ -33,13 +33,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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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: 150
 
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  - generated_from_trainer
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  base_model: codellama/CodeLlama-7b-hf
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  model-index:
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+ - name: codeLlma-7b
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # codeLlma-7b
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+ This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the xfordanita/code-summary-java dataset.
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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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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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 50
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  - mixed_precision_training: Native AMP
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  ### Training results
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