experiemnts

This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.6667
• eval_runtime: 85.9166
• eval_samples_per_second: 11.639
• eval_steps_per_second: 1.455
• epoch: 0.8005
• step: 5184

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: 0.0003
• train_batch_size: 1
• eval_batch_size: 8
• seed: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1