Pegasus_paraphraser_ComQG_4

This model is a fine-tuned version of Gayathri142214002/Pegasus_paraphraser_ComQG_3 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2548

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.2049	0.5	1000	0.2016
0.2227	1.0	2000	0.2139
0.1804	1.51	3000	0.2313
0.1908	2.01	4000	0.2302
0.1558	2.51	5000	0.2474
0.1678	3.01	6000	0.2407
0.1385	3.51	7000	0.2548

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3