Downloads · 30 days
2
10% of all-time downloads
RoBERTa-FineTune-97-3-FocalLoss
Shaurya-Shsin/RoBERTa-FineTune-97-3-FocalLoss
RoBERTa-FineTune-97-3-FocalLoss is a text classification model from Shaurya-Shsin. 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. --
All-time downloads
21
Public
Parameters
125M
16 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- Jun 9, 2025
- SHA
- ea918063
Try a prompt
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-FineTune-97-3-FocalLoss
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0206
- Accuracy: 0.9664
- Precision: 0.4424
- Recall: 0.4452
- F1: 0.4438
- F2: 0.4447
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: 4.395e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | F2 |
|---|---|---|---|---|---|---|---|---|
| 0.0242 | 1.0 | 20740 | 0.0206 | 0.9664 | 0.4424 | 0.4452 | 0.4438 | 0.4447 |
| 0.0201 | 2.0 | 41480 | 0.0230 | 0.9685 | 0.4744 | 0.4494 | 0.4616 | 0.4542 |
| 0.0179 | 3.0 | 62220 | 0.0223 | 0.9673 | 0.4603 | 0.5094 | 0.4836 | 0.4988 |
| 0.0161 | 4.0 | 82960 | 0.0240 | 0.9688 | 0.4813 | 0.4749 | 0.4780 | 0.4761 |
| 0.0147 | 5.0 | 103700 | 0.0273 | 0.9697 | 0.4969 | 0.4532 | 0.4741 | 0.4614 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 28, 2025
- Updated
- Jun 9, 2025