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bthomas/
article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization

Name: article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization

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: 1.0775
Rouge1: 0.2800
Rouge2: 0.0762
Rougel: 0.2806
Rougelsum: 0.2803

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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.6345	1.0	1996	1.3251	0.2815	0.0739	0.2816	0.2819
1.2016	2.0	3992	1.1740	0.2836	0.0727	0.2837	0.2838
1.0307	3.0	5988	1.1094	0.2874	0.0846	0.2879	0.2877
0.923	4.0	7984	1.0775	0.2800	0.0762	0.2806	0.2803

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.3.2
Tokenizers 0.11.0

bthomas/article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization

article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bthomas/
article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization