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llama3-8b-sft-medical – AI Model by yizhujiao | AlphaNeural AI
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yizhujiao
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llama3-8b-sft-medical
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
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llama3-8b-sft-medical
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1.41e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 2
total_train_batch_size: 12
total_eval_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.40.1
Pytorch 2.5.0.dev20240624+cu118
Datasets 2.20.0
Tokenizers 0.19.1