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xlmr-intent-results
angrotanak/xlmr-intent-results
xlmr-intent-results is a text classification model from angrotanak. 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
- May 21, 2025
- Updated
- May 22, 2025
- SHA
- 2bcab8b7
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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. -->
xlmr-intent-results
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: 0.8710
- Accuracy: 0.7273
- F1: 0.7235
- Precision: 0.8953
- Recall: 0.7273
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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_steps: 10
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.7686 | 1.0 | 11 | 1.7656 | 0.3182 | 0.1536 | 0.1012 | 0.3182 |
| 1.7248 | 2.0 | 22 | 1.7412 | 0.1818 | 0.1340 | 0.1061 | 0.1818 |
| 1.6487 | 3.0 | 33 | 1.5732 | 0.4091 | 0.2485 | 0.1818 | 0.4091 |
| 1.6085 | 4.0 | 44 | 1.4907 | 0.3182 | 0.1782 | 0.1237 | 0.3182 |
| 1.5086 | 5.0 | 55 | 1.3331 | 0.4545 | 0.3348 | 0.4213 | 0.4545 |
| 1.4009 | 6.0 | 66 | 1.2478 | 0.5455 | 0.4597 | 0.5752 | 0.5455 |
| 1.271 | 7.0 | 77 | 1.1301 | 0.5 | 0.4303 | 0.5501 | 0.5 |
| 1.0579 | 8.0 | 88 | 0.9797 | 0.6818 | 0.6703 | 0.8644 | 0.6818 |
| 0.9895 | 9.0 | 99 | 0.9068 | 0.7273 | 0.7235 | 0.8953 | 0.7273 |
| 0.899 | 10.0 | 110 | 0.8710 | 0.7273 | 0.7235 | 0.8953 | 0.7273 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 21, 2025
- Updated
- May 22, 2025