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roberta-base-legal-indian-courts-downstream-ildc
MHGanainy/roberta-base-legal-indian-courts-downstream-ildc
roberta-base-legal-indian-courts-downstream-ildc is a text classification model from MHGanainy. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Aug 27, 2024
- SHA
- e3509e13
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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. -->
roberta-base-legal-indian-courts-downstream-ildc
This model is a fine-tuned version of MHGanainy/roberta-base-legal-indian-courts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6117
- Accuracy: 0.8048
- Precision: 0.7875
- Recall: 0.8350
- F1: 0.8105
- Best Threshold: 0.1230
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Best Threshold |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 253 | 0.6666 | 0.5433 | 0.5237 | 0.9577 | 0.6771 | 0.3772 |
| 0.6458 | 2.0 | 506 | 0.4511 | 0.8008 | 0.8045 | 0.7948 | 0.7996 | 0.4237 |
| 0.6458 | 3.0 | 759 | 0.4500 | 0.8169 | 0.8082 | 0.8310 | 0.8194 | 0.3248 |
| 0.4793 | 4.0 | 1012 | 0.3898 | 0.8400 | 0.8153 | 0.8793 | 0.8461 | 0.3844 |
| 0.4793 | 5.0 | 1265 | 0.4364 | 0.8068 | 0.7537 | 0.9115 | 0.8251 | 0.1992 |
| 0.3786 | 6.0 | 1518 | 0.4749 | 0.8068 | 0.7572 | 0.9034 | 0.8239 | 0.1452 |
| 0.3786 | 7.0 | 1771 | 0.6117 | 0.8048 | 0.7875 | 0.8350 | 0.8105 | 0.1230 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 26, 2024
- Updated
- Aug 27, 2024