---
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-V1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3.1-8B-medquad-V1

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 MedQuAD: Ben-Abacha and Demner-Fushman (2019) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9017

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 192
- 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
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3598        | 0.1657 | 10   | 1.1501          |
| 1.0759        | 0.3315 | 20   | 1.0142          |
| 1.0658        | 0.4972 | 30   | 0.9934          |
| 1.0488        | 0.6630 | 40   | 0.9609          |
| 0.9015        | 0.8287 | 50   | 0.9510          |
| 1.0082        | 0.9945 | 60   | 0.9378          |
| 0.9717        | 1.1602 | 70   | 0.9256          |
| 0.8399        | 1.3260 | 80   | 0.9250          |
| 0.9485        | 1.4917 | 90   | 0.9176          |
| 0.9363        | 1.6575 | 100  | 0.9103          |
| 0.8485        | 1.8232 | 110  | 0.9078          |
| 0.9398        | 1.9890 | 120  | 0.9017          |


### Framework versions

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