work-with-plbart

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

• Loss: 0.7953

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	17	0.8711
No log	2.0	34	0.8598
No log	3.0	51	0.8400
No log	4.0	68	0.8216
No log	5.0	85	0.8102
No log	6.0	102	0.8053
No log	7.0	119	0.8000
No log	8.0	136	0.7954
No log	9.0	153	0.7954
No log	10.0	170	0.7953

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0