---
base_model: facebook/bart-large
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-large-summarization-medical_on_cnn-43
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-large-summarization-medical_on_cnn-43

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.7448
- eval_rouge1: 0.1395
- eval_rouge2: 0.0402
- eval_rougeL: 0.1147
- eval_rougeLsum: 0.1265
- eval_gen_len: 20.0
- eval_runtime: 443.3206
- eval_samples_per_second: 2.256
- eval_steps_per_second: 2.256
- 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: 43
- 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 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1