bodoPegasus – AI Model by Mwnthai | AlphaNeural AI

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Mwnthai/
bodoPegasus

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text2text-generation

generated_from_trainer

nsi319/legal-pegasus

endpoints_compatible

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bodoPegasus

This model is a fine-tuned version of nsi319/legal-pegasus on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.6580

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
6.1718	1.0	177	6.1810
5.633	2.0	354	5.6511
5.0593	3.0	531	5.1970
4.5273	4.0	708	4.9958
4.0968	5.0	885	4.8795
3.7306	6.0	1062	4.8876
3.3349	7.0	1239	4.9993
2.8281	8.0	1416	5.2419
2.4709	9.0	1593	5.4688
2.2182	9.9475	1760	5.6580

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.21.0