Downloads · 30 days
9
24% of all-time downloads
RewardModel_RobertaBase
SudhaBhattacharjee/RewardModel_RobertaBase
RewardModel_RobertaBase is a text classification model from SudhaBhattacharjee. 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
37
Public
Parameters
125M
499 MB 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
- Aug 3, 2025
- Updated
- Aug 3, 2025
- SHA
- 5d21fd52
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. -->
RewardModel_RobertaBase
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1666
- Accuracy: 1.0
- F1: 1.0
- Roc Auc: 1.0
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 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 | Roc Auc |
|---|---|---|---|---|---|---|
| No log | 1.0 | 10 | 0.6760 | 0.92 | 0.92 | 0.9200 |
| No log | 2.0 | 20 | 0.4799 | 0.92 | 0.9195 | 0.9200 |
| No log | 3.0 | 30 | 0.1666 | 1.0 | 1.0 | 1.0 |
| No log | 4.0 | 40 | 0.0344 | 1.0 | 1.0 | 1.0 |
| No log | 5.0 | 50 | 0.0200 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 3, 2025
- Updated
- Aug 3, 2025