metadata

license: mit
base_model: facebook/bart-large-cnn
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-large-cnn-with-generate-finetune-indosum
    results: []

bart-large-cnn-with-generate-finetune-indosum

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3396
Rouge1: 0.6999
Rouge2: 0.6062
Rougel: 0.6726
Rougelsum: 0.6724
Gen Len: 129.2541

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3435	1.0	4460	0.3396	0.6999	0.6062	0.6726	0.6724	129.2541

Framework versions

Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.2