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roberta-base-legal-multi-downstream-ildc
MHGanainy/roberta-base-legal-multi-downstream-ildc
roberta-base-legal-multi-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 26, 2024
- SHA
- eb0f5c83
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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-multi-downstream-ildc
This model is a fine-tuned version of MHGanainy/roberta-base-legal-multi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7550
- Accuracy: 0.5111
- Precision: 0.5066
- Recall: 0.8491
- F1: 0.6346
- Best Threshold: 0.3289
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: 8
- eval_batch_size: 8
- seed: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.6846 | 1.0 | 1010 | 0.7224 | 0.5010 | 0.5005 | 0.9920 | 0.6653 | 0.3777 |
| 0.6809 | 2.0 | 2020 | 0.7399 | 0.5020 | 0.55 | 0.0221 | 0.0426 | 0.3502 |
| 0.6824 | 3.0 | 3030 | 0.7805 | 0.5040 | 0.5021 | 0.9437 | 0.6555 | 0.2994 |
| 0.6804 | 4.0 | 4040 | 0.7550 | 0.5111 | 0.5066 | 0.8491 | 0.6346 | 0.3289 |
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 26, 2024