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Finetuned_HYBRID_LEGAL_LED_TFIDF
Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF
Finetuned_HYBRID_LEGAL_LED_TFIDF is a machine learning model from Deepanshu7284. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- led
- Access
- Public
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025
- SHA
- 30cc8024
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. -->
Finetuned_HYBRID_LEGAL_LED_TFIDF
This model is a fine-tuned version of 0-hero/led-large-legal-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3545
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4148 | 1.0 | 375 | 1.3603 |
| 1.1867 | 2.0 | 750 | 1.3218 |
| 0.9859 | 3.0 | 1125 | 1.3303 |
| 0.8782 | 4.0 | 1500 | 1.3545 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- led
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025