Downloads · 30 days
4
7% of all-time downloads
roberta-finetuned-scienceqa
Vaishnaviid/roberta-finetuned-scienceqa
roberta-finetuned-scienceqa is a text classification model from Vaishnaviid. 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
58
Public
Parameters
125M
997 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
- Nov 27, 2025
- Updated
- Nov 27, 2025
- SHA
- 615d0753
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-finetuned-scienceqa
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0659
- Accuracy: 0.33
- Precision: 0.4048
- Recall: 0.3315
- F1: 0.2137
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.1181 | 1.0 | 125 | 1.1282 | 0.365 | 0.2366 | 0.2934 | 0.2148 |
| 1.0528 | 2.0 | 250 | 1.0123 | 0.405 | 0.3260 | 0.3866 | 0.2781 |
| 0.998 | 3.0 | 375 | 1.0090 | 0.415 | 0.2990 | 0.3555 | 0.2616 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 27, 2025
- Updated
- Nov 27, 2025