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tuning-sentiment-abp-pos-neg
TungCan/tuning-sentiment-abp-pos-neg
tuning-sentiment-abp-pos-neg is a text classification model from TungCan. 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
- xlm-roberta
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025
- SHA
- f1038165
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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. -->
tuning-sentiment-abp-pos-neg
This model is a fine-tuned version of TungCan/tuning-sentiment-abp-pos-neg on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9952
- Accuracy: 0.6892
- F1: 0.7495
- Precision: 0.7517
- Recall: 0.7474
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: 64
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 387 | 0.5820 | 0.6994 | 0.7588 | 0.7572 | 0.7613 |
| 0.3956 | 2.0 | 774 | 0.6367 | 0.7430 | 0.7868 | 0.7988 | 0.7929 |
| 0.3357 | 3.0 | 1161 | 0.7205 | 0.7234 | 0.7728 | 0.7863 | 0.7738 |
| 0.2778 | 4.0 | 1548 | 0.8257 | 0.6962 | 0.7561 | 0.7644 | 0.7495 |
| 0.2778 | 5.0 | 1935 | 0.9952 | 0.6892 | 0.7495 | 0.7517 | 0.7474 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025