metadata

base_model: meta-llama/Llama-3.1-8B
library_name: peft
license: llama3.1
tags:
  - question-answering
  - QA
  - text-generation
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-3-1-8B-medquad-Temp05
    results: []

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