Downloads · 30 days
16
5% of all-time downloads
xlm-roberta-sentiment-batch-16
iaderegg/xlm-roberta-sentiment-batch-16
xlm-roberta-sentiment-batch-16 is a text classification model from iaderegg. 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
311
Public
Parameters
560M
47.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025
- SHA
- 8bb0d05a
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. -->
xlm-roberta-sentiment-batch-16
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0841
- F1 Macro: 0.6712
- F1 Weighted: 0.6735
- Accuracy: 0.6779
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|---|---|---|---|---|---|---|
| 1.1013 | 1.0 | 151 | 1.0634 | 0.4422 | 0.4507 | 0.5100 |
| 0.7638 | 2.0 | 302 | 0.7949 | 0.6243 | 0.6226 | 0.6234 |
| 0.6747 | 3.0 | 453 | 0.8164 | 0.6506 | 0.6542 | 0.6676 |
| 0.5085 | 4.0 | 604 | 0.8033 | 0.6813 | 0.6822 | 0.6824 |
| 0.4091 | 5.0 | 755 | 0.8855 | 0.6773 | 0.6790 | 0.6807 |
| 0.3472 | 6.0 | 906 | 0.9443 | 0.6813 | 0.6826 | 0.6824 |
| 0.2684 | 7.0 | 1057 | 1.0841 | 0.6712 | 0.6735 | 0.6779 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025