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finetuning-sentiment-model
lonelyalpaca/finetuning-sentiment-model
finetuning-sentiment-model is a text classification model from lonelyalpaca. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025
- SHA
- 7dc7a6a2
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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. -->
finetuning-sentiment-model
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3181
- Accuracy: 0.8709
- F1: 0.8709
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: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3675 | 0.2286 | 5000 | 0.3607 | 0.8434 | 0.8431 |
| 0.3524 | 0.4571 | 10000 | 0.3422 | 0.8527 | 0.8525 |
| 0.3419 | 0.6857 | 15000 | 0.3338 | 0.8563 | 0.8561 |
| 0.3294 | 0.9143 | 20000 | 0.3247 | 0.8627 | 0.8627 |
| 0.2989 | 1.1429 | 25000 | 0.3325 | 0.8662 | 0.8661 |
| 0.2981 | 1.3714 | 30000 | 0.3182 | 0.8677 | 0.8676 |
| 0.2789 | 1.6 | 35000 | 0.3225 | 0.8694 | 0.8694 |
| 0.2836 | 1.8286 | 40000 | 0.3181 | 0.8709 | 0.8709 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025