Mwnthai/bodoLegalPegasus
08
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bodoLegalPegasus
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: 2.7662
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
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 16
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- num_epochs: 4
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0