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  1. README.md +12 -11
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  ---
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- library_name: transformers
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- license: mit
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- base_model: openai-community/gpt2
 
 
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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: chat
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  results: []
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # chat
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- This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the generator dataset.
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  ## Model description
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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: 3
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 6
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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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- - num_epochs: 5
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  ### Training results
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  ### Framework versions
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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- - Tokenizers 0.19.1
 
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  ---
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+ base_model: google/gemma-2-2b-it
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+ datasets:
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+ - generator
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+ library_name: peft
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+ license: gemma
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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: chat
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  results: []
 
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  # chat
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+ This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
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  ## Model description
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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: 1
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_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: constant
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  - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 2
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  ### Training results
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  ### Framework versions
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+ - PEFT 0.13.2
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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+ - Tokenizers 0.19.1