Pegasus_paraphraser – AI Model by Gayathri142214002 | AlphaNeural AI

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Pegasus_paraphraser

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text2text-generation

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pegasus_paraphraser

This model is a fine-tuned version of tuner007/pegasus_paraphrase on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3852

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
1.8224	0.19	10	1.2976
1.3213	0.37	20	1.2302
1.2333	0.56	30	1.2068
1.1097	0.74	40	1.1991
1.3741	0.93	50	1.2260
1.0593	1.12	60	1.2005
1.1234	1.3	70	1.2103
1.0116	1.49	80	1.2098
0.8591	1.67	90	1.1709
0.9176	1.86	100	1.1830
0.7524	2.05	110	1.2122
0.7762	2.23	120	1.2398
0.677	2.42	130	1.2440
0.8364	2.6	140	1.2356
0.7489	2.79	150	1.2542
0.7113	2.98	160	1.2678
0.5462	3.16	170	1.3100
0.6775	3.35	180	1.3193
0.6417	3.53	190	1.3157
0.547	3.72	200	1.3172
0.5357	3.91	210	1.3311
0.6796	4.09	220	1.3236
0.4884	4.28	230	1.3288
0.483	4.47	240	1.3423
0.667	4.65	250	1.3702
0.5785	4.84	260	1.3817
0.6123	5.02	270	1.3728
0.4735	5.21	280	1.3731
0.5278	5.4	290	1.3783
0.5393	5.58	300	1.3904
0.4631	5.77	310	1.3884
0.4538	5.95	320	1.3800
0.5137	6.14	330	1.3766
0.5514	6.33	340	1.3815
0.4629	6.51	350	1.3849
0.5013	6.7	360	1.3855
0.4566	6.88	370	1.3852

Framework versions

Transformers 4.28.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3