Llama-3-1-8B-medquad-Temp05

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the adamjweintraut/eli5_base_best dataset dataset. It achieves the following results on the evaluation set:

• Loss: 1.6541

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: reduce_lr_on_plateau
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0