metadata

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: []

bart-large-summarization-medical_on_cnn-43

This model is a fine-tuned version of 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