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xlm-roberta-base-finetuned-detests-wandb24
Pablo94/xlm-roberta-base-finetuned-detests-wandb24
xlm-roberta-base-finetuned-detests-wandb24 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 12, 2024
- Updated
- Feb 12, 2024
- SHA
- 2b8d47d0
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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-detests-wandb24
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: 0.4371
- Accuracy: 0.7938
- F1-score: 0.7241
- Precision: 0.7136
- Recall: 0.7396
- Auc: 0.7396
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.458 | 1.0 | 153 | 0.4512 | 0.7725 | 0.4358 | 0.3863 | 0.5 | 0.5 |
| 0.4262 | 2.0 | 306 | 0.4371 | 0.7938 | 0.7241 | 0.7136 | 0.7396 | 0.7396 |
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 12, 2024
- Updated
- Feb 12, 2024