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Meta-Llama-3-8B-finetuned-balanced – AI Model by YipingZhang | AlphaNeural AI
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Meta-Llama-3-8B-finetuned-balanced
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peft
safetensors
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sft
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meta-llama/Meta-Llama-3-8B
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llama3
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Meta-Llama-3-8B-finetuned-balanced
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the None 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 200
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.3
