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roberta_en_med_1
m-aliabbas1/roberta_en_med_1
roberta_en_med_1 is a text classification model from m-aliabbas1. 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
- roberta
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025
- SHA
- e0749a78
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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_en_med_1
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7481
- F1: 0.8553
- Accuracy: 0.8567
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.5726 | 1.0 | 1481 | 0.5461 | 0.8179 | 0.8218 |
| 0.495 | 2.0 | 2962 | 0.4922 | 0.8318 | 0.8332 |
| 0.3949 | 3.0 | 4443 | 0.4744 | 0.8421 | 0.8456 |
| 0.3627 | 4.0 | 5924 | 0.4744 | 0.8488 | 0.8502 |
| 0.3059 | 5.0 | 7405 | 0.4784 | 0.8509 | 0.8514 |
| 0.2555 | 6.0 | 8886 | 0.5150 | 0.8508 | 0.8522 |
| 0.2153 | 7.0 | 10367 | 0.5379 | 0.8462 | 0.8464 |
| 0.1657 | 8.0 | 11848 | 0.5893 | 0.8505 | 0.8514 |
| 0.1398 | 9.0 | 13329 | 0.6250 | 0.8476 | 0.8506 |
| 0.1067 | 10.0 | 14810 | 0.6537 | 0.8521 | 0.8522 |
| 0.0877 | 11.0 | 16291 | 0.7481 | 0.8553 | 0.8567 |
| 0.0582 | 12.0 | 17772 | 0.7734 | 0.8530 | 0.8538 |
| 0.0477 | 13.0 | 19253 | 0.8727 | 0.8524 | 0.8543 |
| 0.0349 | 14.0 | 20734 | 0.9370 | 0.8547 | 0.8561 |
| 0.0225 | 15.0 | 22215 | 0.9537 | 0.8549 | 0.8561 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.4.1+cu124
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025