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Model save

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  1. README.md +6 -8
  2. adapter_model.bin +1 -1
README.md CHANGED
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  ---
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- license: llama2
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- base_model: codellama/CodeLlama-7b-hf
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # results
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- This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown 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: 4
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  - eval_batch_size: 1
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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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- - training_steps: 500
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  ### Training results
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@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
 
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  ---
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+ license: other
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+ base_model: microsoft/phi-1_5
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # results
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+ This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown 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: 1e-06
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  - train_batch_size: 4
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  - eval_batch_size: 1
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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: cosine
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  - lr_scheduler_warmup_steps: 100
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+ - training_steps: 4000
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  ### Training results
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  ### Framework versions
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+ - Transformers 4.33.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
adapter_model.bin CHANGED
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  size 58732573
 
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