---
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: []
---

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

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/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