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xlm_roberta_emotion_detection
lindtsey/xlm_roberta_emotion_detection
xlm_roberta_emotion_detection is a text classification model from lindtsey. 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
- Oct 23, 2025
- Updated
- Oct 25, 2025
- SHA
- 0932ccd0
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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. -->
xlm_roberta_emotion_detection
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3035
- Exact Match Accuracy: 0.5185
- F1 Micro: 0.6169
- F1 Macro: 0.4825
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: 3e-05
- train_batch_size: 192
- eval_batch_size: 384
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match Accuracy | F1 Micro | F1 Macro |
|---|---|---|---|---|---|---|
| No log | 1.0 | 181 | 0.3253 | 0.3249 | 0.4663 | 0.1127 |
| 0.3712 | 2.0 | 362 | 0.2824 | 0.4945 | 0.6017 | 0.4137 |
| 0.3712 | 3.0 | 543 | 0.2745 | 0.5170 | 0.6203 | 0.4506 |
| 0.2642 | 4.0 | 724 | 0.2748 | 0.5065 | 0.6140 | 0.4561 |
| 0.2642 | 5.0 | 905 | 0.2783 | 0.5227 | 0.6209 | 0.4594 |
| 0.2374 | 6.0 | 1086 | 0.2832 | 0.5155 | 0.6191 | 0.4729 |
| 0.2374 | 7.0 | 1267 | 0.2903 | 0.5159 | 0.6192 | 0.4824 |
| 0.2182 | 8.0 | 1448 | 0.2951 | 0.5181 | 0.6198 | 0.4841 |
| 0.2182 | 9.0 | 1629 | 0.2982 | 0.5112 | 0.6129 | 0.4838 |
| 0.2046 | 10.0 | 1810 | 0.3035 | 0.5185 | 0.6169 | 0.4825 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 23, 2025
- Updated
- Oct 25, 2025