---
base_model: facebook/bart-base
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-base-summarization-medical-42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bart-base-summarization-medical-42

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.8636
- eval_rouge1: 0.2103
- eval_rouge2: 0.0789
- eval_rougeL: 0.18
- eval_rougeLsum: 0.1797
- eval_gen_len: 19.976
- eval_runtime: 276.1345
- eval_samples_per_second: 3.621
- eval_steps_per_second: 3.621
- step: 0

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1