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End of training

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README.md CHANGED
@@ -1,11 +1,13 @@
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  ---
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- base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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- library_name: peft
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  license: llama3.1
 
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  tags:
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  - trl
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  - sft
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  - generated_from_trainer
 
 
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  model-index:
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  - name: llama3_lora_one_epoch
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  results: []
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama3_lora_one_epoch
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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  ## Model description
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@@ -42,8 +44,7 @@ The following hyperparameters were used during training:
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  - distributed_type: multi-GPU
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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_ratio: 0.03
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- - num_epochs: 1
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  ### Training results
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@@ -51,8 +52,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - PEFT 0.12.0
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- - Transformers 4.44.0
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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- - Tokenizers 0.19.0
 
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  ---
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+ library_name: transformers
 
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  license: llama3.1
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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  tags:
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  - trl
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  - sft
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  - generated_from_trainer
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+ datasets:
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+ - generator
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  model-index:
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  - name: llama3_lora_one_epoch
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  results: []
 
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  # llama3_lora_one_epoch
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the generator dataset.
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  ## Model description
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  - distributed_type: multi-GPU
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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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+ - num_epochs: 3
 
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  ### Training results
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  ### Framework versions
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+ - Transformers 4.44.1
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+ - Pytorch 2.3.1+cu121
 
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  - Datasets 2.19.1
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+ - Tokenizers 0.19.0
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