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InLegalBERT-5-epochs-fine-tune
xshubhamx/InLegalBERT-5-epochs-fine-tune
InLegalBERT-5-epochs-fine-tune is a text classification model from xshubhamx. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024
- SHA
- 8d2d7984
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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. -->
InLegalBERT-5-epochs-fine-tune
This model is a fine-tuned version of law-ai/InLegalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8945
- Accuracy: 0.8335
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0224 | 1.0 | 643 | 0.6162 | 0.8195 |
| 0.55 | 2.0 | 1286 | 0.6389 | 0.8358 |
| 0.4205 | 3.0 | 1929 | 0.7489 | 0.8304 |
| 0.1503 | 4.0 | 2572 | 0.8605 | 0.8335 |
| 0.1065 | 5.0 | 3215 | 0.8945 | 0.8335 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024