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results
sandip404/results
results is a text classification model from sandip404. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025
- SHA
- 2c8a5905
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. -->
results
This model is a fine-tuned version of google/muril-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8564
- Accuracy: 0.8761
- F1: 0.8755
- Precision: 0.8892
- Recall: 0.8761
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: 8
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.3029 | 1.0 | 339 | 1.1999 | 0.5634 | 0.4575 | 0.4881 | 0.5634 |
| 1.0073 | 2.0 | 678 | 0.9380 | 0.7168 | 0.6836 | 0.7627 | 0.7168 |
| 0.8519 | 3.0 | 1017 | 0.8564 | 0.8761 | 0.8755 | 0.8892 | 0.8761 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.7.1+cpu
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025