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legal-roberta-large
frisibeli/legal-roberta-large
legal-roberta-large is a text classification model from frisibeli. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- roberta
- Access
- Public
- Created
- Jan 4, 2024
- Updated
- Jan 4, 2024
- SHA
- 47af5264
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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. -->
legal-roberta-large
This model is a fine-tuned version of lexlms/legal-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0297
- F1: 0.4489
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2471 | 0.96 | 18 | 0.8701 | 0.4711 |
| 0.1889 | 1.97 | 37 | 0.9103 | 0.4562 |
| 0.1444 | 2.99 | 56 | 0.9706 | 0.4489 |
| 0.1283 | 4.0 | 75 | 1.0204 | 0.4562 |
| 0.1411 | 4.8 | 90 | 1.0297 | 0.4489 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-sa-4.0
- Created
- Jan 4, 2024
- Updated
- Jan 4, 2024