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RuleBert-v0.4-k1
ribesstefano/RuleBert-v0.4-k1
RuleBert-v0.4-k1 is a text classification model from ribesstefano. 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
- Jan 7, 2024
- Updated
- Jan 7, 2024
- SHA
- edb83784
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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. -->
ribesstefano/RuleBert-v0.4-k1
This model is a fine-tuned version of papluca/xlm-roberta-base-language-detection on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3335
- F1: 0.5287
- Roc Auc: 0.7065
- Accuracy: 0.0
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.3599 | 0.13 | 250 | 0.3361 | 0.5157 | 0.6901 | 0.0 |
| 0.3426 | 0.25 | 500 | 0.3436 | 0.5031 | 0.6842 | 0.0667 |
| 0.3621 | 0.38 | 750 | 0.3340 | 0.4861 | 0.6679 | 0.0 |
| 0.3692 | 0.5 | 1000 | 0.3397 | 0.5409 | 0.7020 | 0.0 |
| 0.3485 | 0.63 | 1250 | 0.3318 | 0.4861 | 0.6679 | 0.0 |
| 0.3494 | 0.75 | 1500 | 0.3306 | 0.4861 | 0.6679 | 0.0 |
| 0.3464 | 0.88 | 1750 | 0.3353 | 0.4861 | 0.6679 | 0.0 |
| 0.3554 | 1.0 | 2000 | 0.3395 | 0.5632 | 0.7243 | 0.0 |
| 0.3509 | 1.13 | 2250 | 0.3303 | 0.4861 | 0.6679 | 0.0 |
| 0.3331 | 1.26 | 2500 | 0.3359 | 0.5302 | 0.6945 | 0.0 |
| 0.3373 | 1.38 | 2750 | 0.3334 | 0.4861 | 0.6679 | 0.0 |
| 0.3416 | 1.51 | 3000 | 0.3355 | 0.4861 | 0.6679 | 0.0 |
| 0.3492 | 1.63 | 3250 | 0.3335 | 0.5287 | 0.7065 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 7, 2024
- Updated
- Jan 7, 2024