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bodoLegalPegasus
Mwnthai/bodoLegalPegasus
bodoLegalPegasus is a machine learning model from Mwnthai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- pegasus
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Mar 3, 2025
- SHA
- 3acd80f6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6251 | 1.0 | 313 | 3.5900 |
| 3.2344 | 2.0 | 626 | 3.1249 |
| 3.0194 | 3.0 | 939 | 2.8920 |
| 2.8709 | 3.9896 | 1248 | 2.7662 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- pegasus
- License
- mit
- Created
- Feb 25, 2025
- Updated
- Mar 3, 2025