plbart-base_finetuned_ut_generator_70000_method2test

This model is a fine-tuned version of Minata/plbart-base_finetuned_ut_generator_70000_method2test on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1594

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: 5e-06
• 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: 6
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1996	1.0	7875	0.1690
0.1895	2.0	15750	0.1655
0.1816	3.0	23625	0.1628
0.1757	4.0	31500	0.1612
0.1714	5.0	39375	0.1599
0.1686	6.0	47250	0.1594

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.10.0
• Tokenizers 0.13.2