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sentiment-xlm-batch4
Carlosdca/sentiment-xlm-batch4
sentiment-xlm-batch4 is a text classification model from Carlosdca. 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 18, 2025
- Updated
- Nov 18, 2025
- SHA
- 28bd1aac
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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. -->
sentiment-xlm-batch4
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: 0.6739
- Accuracy: 0.5764
- F1 Macro: 0.3656
- F1 Weighted: 0.4215
- Precision Macro: 0.2882
- Recall Macro: 0.5
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: 4
- eval_batch_size: 4
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|---|
| 0.7408 | 1.0 | 656 | 0.6764 | 0.5747 | 0.3650 | 0.4195 | 0.2873 | 0.5 |
| 0.7165 | 2.0 | 1312 | 0.6979 | 0.4253 | 0.2984 | 0.2538 | 0.2127 | 0.5 |
| 0.7071 | 3.0 | 1968 | 0.7222 | 0.4253 | 0.2984 | 0.2538 | 0.2127 | 0.5 |
| 0.705 | 4.0 | 2624 | 0.6976 | 0.4253 | 0.2984 | 0.2538 | 0.2127 | 0.5 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 18, 2025
- Updated
- Nov 18, 2025