BART-large-commongen

This model is a fine-tuned version of facebook/bart-large on the gem dataset. It achieves the following results on the evaluation set:

• Loss: 1.1409
• Spice: 0.4009

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 6317

Training results

Training Loss	Epoch	Step	Validation Loss	Spice
10.1086	0.05	100	4.9804	0.3736
4.4168	0.09	200	2.4402	0.4079
1.8158	0.14	300	1.1096	0.4258
1.1723	0.19	400	1.0845	0.4086
1.0894	0.24	500	1.0727	0.423
1.0949	0.28	600	1.0889	0.4224
1.0773	0.33	700	1.0977	0.4201
1.0708	0.38	800	1.1157	0.4213
1.0663	0.43	900	1.1798	0.421
1.0985	0.47	1000	1.1611	0.4025
1.0561	0.52	1100	1.1048	0.421
1.0594	0.57	1200	1.2044	0.3626
1.0689	0.62	1300	1.1409	0.4009

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.1.dev0
• Tokenizers 0.10.3