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xlm-roberta-base-finetuned-detests24
Pablo94/xlm-roberta-base-finetuned-detests24
xlm-roberta-base-finetuned-detests24 is a text classification model from Pablo94. 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
- Feb 11, 2024
- Updated
- Feb 11, 2024
- SHA
- b5f07b15
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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-base-finetuned-detests24
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: 1.0941
- Accuracy: 0.8151
- F1-score: 0.7439
- Precision: 0.7380
- Recall: 0.7509
- Auc: 0.7509
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: 16
- eval_batch_size: 16
- 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 | F1-score | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.4432 | 1.0 | 153 | 0.4079 | 0.8298 | 0.7158 | 0.7778 | 0.6893 | 0.6893 |
| 0.4326 | 2.0 | 306 | 0.5061 | 0.7447 | 0.7078 | 0.7052 | 0.7840 | 0.7840 |
| 0.2533 | 3.0 | 459 | 0.5227 | 0.7676 | 0.7195 | 0.7070 | 0.7709 | 0.7709 |
| 0.3354 | 4.0 | 612 | 0.5113 | 0.8347 | 0.7689 | 0.7645 | 0.7737 | 0.7737 |
| 0.2157 | 5.0 | 765 | 0.8228 | 0.8020 | 0.7484 | 0.7321 | 0.7830 | 0.7830 |
| 0.1815 | 6.0 | 918 | 0.9407 | 0.8036 | 0.7528 | 0.7359 | 0.7917 | 0.7917 |
| 0.0829 | 7.0 | 1071 | 0.9539 | 0.8363 | 0.7648 | 0.7676 | 0.7621 | 0.7621 |
| 0.1077 | 8.0 | 1224 | 0.9649 | 0.8200 | 0.7501 | 0.7445 | 0.7566 | 0.7566 |
| 0.0473 | 9.0 | 1377 | 1.0557 | 0.8200 | 0.7439 | 0.7439 | 0.7439 | 0.7439 |
| 0.0632 | 10.0 | 1530 | 1.0941 | 0.8151 | 0.7439 | 0.7380 | 0.7509 | 0.7509 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 11, 2024
- Updated
- Feb 11, 2024