Downloads · 30 days
5
13% of all-time downloads
emotion_roberta_weighted
mohammadbakhtiary23/emotion_roberta_weighted
emotion_roberta_weighted is a text classification model from mohammadbakhtiary23. 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
39
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025
- SHA
- 682b8cc5
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. -->
emotion_roberta_weighted
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2197
- Accuracy: 0.925
- F1: 0.9267
- Precision: 0.9326
- Recall: 0.925
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3138 | 1.0 | 1000 | 0.2516 | 0.9105 | 0.9122 | 0.9180 | 0.9105 |
| 0.1726 | 2.0 | 2000 | 0.2212 | 0.931 | 0.9313 | 0.9328 | 0.931 |
| 0.1471 | 3.0 | 3000 | 0.1927 | 0.935 | 0.9360 | 0.9394 | 0.935 |
| 0.1202 | 4.0 | 4000 | 0.1811 | 0.938 | 0.9387 | 0.9410 | 0.938 |
| 0.0894 | 5.0 | 5000 | 0.2013 | 0.9355 | 0.9364 | 0.9388 | 0.9355 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025