parrot_paraphraser_on_T5-finetuned-xsum-v7

This model is a fine-tuned version of prithivida/parrot_paraphraser_on_T5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0316
• Rouge1: 86.4178
• Rouge2: 84.901
• Rougel: 86.458
• Rougelsum: 86.4281
• Gen Len: 17.887

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0752	1.0	2000	0.0439	86.0044	84.1284	86.0265	86.0167	17.895
0.0454	2.0	4000	0.0352	86.2948	84.6092	86.3256	86.293	17.88
0.0308	3.0	6000	0.0324	86.3316	84.7883	86.374	86.3355	17.887
0.0242	4.0	8000	0.0316	86.4178	84.901	86.458	86.4281	17.887

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1