bart_left_fulltext_torch

This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9329

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	8	9.2222
No log	2.0	16	8.1910
No log	3.0	24	7.8851
No log	4.0	32	7.5382
No log	5.0	40	7.2200
No log	6.0	48	6.7294
No log	7.0	56	6.1038
No log	8.0	64	5.5721
No log	9.0	72	5.1404
No log	10.0	80	4.4875
No log	11.0	88	3.8785
No log	12.0	96	3.3749
No log	13.0	104	2.9965
No log	14.0	112	2.6608
No log	15.0	120	2.3879
No log	16.0	128	2.2349
No log	17.0	136	2.0993
No log	18.0	144	2.0023
No log	19.0	152	1.9480
No log	20.0	160	1.9329

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3