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fm-tc-hybridXML-MULTILINGUAL-spaincat
adriansanz/fm-tc-hybridXML-MULTILINGUAL-spaincat
fm-tc-hybridXML-MULTILINGUAL-spaincat 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 4, 2024
- Updated
- Jun 4, 2024
- SHA
- e55cbff8
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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-authenticv2
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: 0.1206
- Accuracy: 0.982
- Precision: 0.9827
- Recall: 0.982
- F1: 0.9818
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.6748 | 1.0 | 875 | 0.3232 | 0.916 | 0.9202 | 0.916 | 0.9162 |
| 0.2931 | 2.0 | 1750 | 0.2835 | 0.944 | 0.9463 | 0.944 | 0.9433 |
| 0.1349 | 3.0 | 2625 | 0.2172 | 0.962 | 0.9650 | 0.9620 | 0.9620 |
| 0.0424 | 4.0 | 3500 | 0.1786 | 0.976 | 0.9781 | 0.976 | 0.9758 |
| 0.0203 | 5.0 | 4375 | 0.1206 | 0.982 | 0.9827 | 0.982 | 0.9818 |
Framework versions
- Transformers 4.41.1
- 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 4, 2024
- Updated
- Jun 4, 2024