pegasus-legalease – AI Model by etav22 | AlphaNeural AI

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etav22/
pegasus-legalease

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text2text-generation

generated_from_trainer

google/pegasus-xsum

endpoints_compatible

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pegasus-legalease

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

Loss: 1.1372

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

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.09	250	4.9954
5.2592	0.18	500	4.3175
5.2592	0.27	750	1.3074
2.3819	0.35	1000	1.1987
2.3819	0.44	1250	1.1678
1.3113	0.53	1500	1.1491
1.3113	0.62	1750	1.1369
1.2158	0.71	2000	1.1273
1.2158	0.8	2250	1.1165
1.2119	0.89	2500	1.1137
1.2119	0.98	2750	1.1147
1.2307	1.06	3000	1.1210
1.2307	1.15	3250	1.1246
1.2107	1.24	3500	1.1269
1.2107	1.33	3750	1.1372

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2