bart-base-generation

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

• Loss: 1.0932
• Rouge1: 17.1543
• Rouge2: 12.9074
• Rougel: 16.512
• Rougelsum: 16.9278
• Bleu-1: 0.0079
• Bleu-2: 0.0073
• Bleu-3: 0.007
• Bleu-4: 0.0068
• 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	Bleu-1	Bleu-2	Bleu-3	Bleu-4	Gen Len
2.1136	1.0	28600	1.0932	17.1543	12.9074	16.512	16.9278	0.0079	0.0073	0.007	0.0068	20.0

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3