metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: facebook/bart-base
model-index:
  - name: bart-base-finetuned-xsum
    results: []

bart-base-finetuned-xsum

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

Loss: 3.1493
Rouge1: 11.0253
Rouge2: 2.8228
Rougel: 8.9151
Rougelsum: 10.6693
Gen Len: 20.0

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: 2e-05
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: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7759	1.0	23165	3.1493	11.0253	2.8228	8.9151	10.6693	20.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3