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kartik-finetune
Oscar9898/kartik-finetune
kartik-finetune is a text classification model from Oscar9898. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 11, 2025
- Updated
- Aug 18, 2025
- SHA
- 49473a56
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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. -->
kartik-finetune
This model is a fine-tuned version of karths/binary_classification_train_TD on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6296
- Accuracy: 0.6840
- Precision: 0.7261
- Recall: 0.7553
- F1: 0.7404
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: 32
- eval_batch_size: 32
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6222 | 1.0 | 968 | 0.6143 | 0.6683 | 0.7021 | 0.7712 | 0.7351 |
| 0.5823 | 2.0 | 1936 | 0.6121 | 0.6763 | 0.7202 | 0.7482 | 0.7339 |
| 0.5491 | 3.0 | 2904 | 0.6084 | 0.6844 | 0.7078 | 0.8022 | 0.7520 |
| 0.5256 | 4.0 | 3872 | 0.6296 | 0.6840 | 0.7261 | 0.7553 | 0.7404 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu118
- Datasets 4.0.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 11, 2025
- Updated
- Aug 18, 2025