output

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B 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: 0.0002
• train_batch_size: 48
• eval_batch_size: 24
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 96
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3

Framework versions

• PEFT 0.7.1
• Transformers 4.38.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.15.2