Llama-3-70B-GPTQ

This model is a fine-tuned version of TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ 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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2	2.3162

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.3.1+cu121
• Datasets 2.13.0
• Tokenizers 0.15.2