article2KW_test2.0c_barthez-orangesum-title_finetuned_for_mlm

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: 0.0465

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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4688	1.0	685	0.0575
0.061	2.0	1370	0.0495
0.0539	3.0	2055	0.0477
0.0498	4.0	2740	0.0465

Framework versions

• Transformers 4.21.1
• Pytorch 1.11.0
• Datasets 2.3.2
• Tokenizers 0.11.0