jogonba2/mbarthez-copy_mechanism-hal_articles

mbarthez-davide_articles-copy_enhanced

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

• Loss: 1.4905
• Rouge1: 36.548
• Rouge2: 19.6282
• Rougel: 30.2513
• Rougelsum: 30.2765
• Gen Len: 25.7238

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: 3e-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: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6706	1.0	33552	1.5690	31.2477	16.5455	26.9855	26.9754	18.6217
1.3446	2.0	67104	1.5060	32.1108	17.1408	27.7833	27.7703	18.9115
1.3245	3.0	100656	1.4905	32.9084	17.7027	28.2912	28.2975	18.9801

Framework versions

• Transformers 4.10.2
• Pytorch 1.7.1+cu110
• Datasets 1.11.0
• Tokenizers 0.10.3