metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: article2KW_test1_barthez-orangesum-title_finetuned_for_summurization
    results: []

article2KW_test1_barthez-orangesum-title_finetuned_for_summurization

This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2895
Rouge1: 0.2048
Rouge2: 0.0600
Rougel: 0.2053
Rougelsum: 0.2057

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: 5.6e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.4512	1.0	3368	0.3433	0.2030	0.0642	0.2037	0.2033
0.3162	2.0	6736	0.3051	0.2109	0.0681	0.2110	0.2111
0.264	3.0	10104	0.2895	0.2048	0.0600	0.2053	0.2057

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.3.2
Tokenizers 0.11.0