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fm-tc-end_mix_xml_int
adriansanz/fm-tc-end_mix_xml_int
fm-tc-end_mix_xml_int is a text classification model from adriansanz. 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
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- 27cb9392
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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. -->
fm-tc-end_mix_xml_int
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2252
- Accuracy: 0.972
- Precision: 0.9723
- Recall: 0.9720
- F1: 0.9718
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6806 | 1.0 | 1188 | 0.5256 | 0.884 | 0.8899 | 0.884 | 0.8836 |
| 0.471 | 2.0 | 2376 | 0.4439 | 0.918 | 0.9207 | 0.9180 | 0.9175 |
| 0.3018 | 3.0 | 3564 | 0.4361 | 0.926 | 0.9319 | 0.9260 | 0.9250 |
| 0.1976 | 4.0 | 4752 | 0.3230 | 0.946 | 0.9480 | 0.9460 | 0.9459 |
| 0.171 | 5.0 | 5940 | 0.2477 | 0.954 | 0.9558 | 0.9540 | 0.9540 |
| 0.0786 | 6.0 | 7128 | 0.2633 | 0.95 | 0.9519 | 0.9500 | 0.9496 |
| 0.0295 | 7.0 | 8316 | 0.2425 | 0.962 | 0.9622 | 0.9620 | 0.9615 |
| 0.0249 | 8.0 | 9504 | 0.2599 | 0.966 | 0.9665 | 0.966 | 0.9658 |
| 0.0149 | 9.0 | 10692 | 0.2335 | 0.968 | 0.9688 | 0.9680 | 0.9679 |
| 0.0033 | 10.0 | 11880 | 0.2252 | 0.972 | 0.9723 | 0.9720 | 0.9718 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024