Model save
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- adapter_model.safetensors +1 -1
README.md
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- sft
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: llam3-baseline-ft-model
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results: []
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# llam3-baseline-ft-model
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on
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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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- num_epochs:
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### Training results
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- sft
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- generator
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model-index:
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- name: llam3-baseline-ft-model
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results: []
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# llam3-baseline-ft-model
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
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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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- num_epochs: 1
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### Training results
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adapter_model.safetensors
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size 3443619040
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