---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: epfl-llm/meditron-70b
model-index:
- name: meditron-70b-finetuned-PubMedQA
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# meditron-70b-finetuned-PubMedQA

This model is a fine-tuned version of [epfl-llm/meditron-70b](https://huggingface.co/epfl-llm/meditron-70b) on the None dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1