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xlm-roberta-base-mar-finetuned-augmentation-LUNAR-MICRO
sercetexam9/xlm-roberta-base-mar-finetuned-augmentation-LUNAR-MICRO
xlm-roberta-base-mar-finetuned-augmentation-LUNAR-MICRO is a text classification model from sercetexam9. 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 30, 2025
- Updated
- Jan 30, 2025
- SHA
- 7b6e1a22
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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-mar-finetuned-augmentation-LUNAR-MICRO
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: 0.1186
- F1: 0.8790
- Roc Auc: 0.9141
- Accuracy: 0.8364
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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.4046 | 1.0 | 176 | 0.3648 | 0.0 | 0.5 | 0.1679 |
| 0.2359 | 2.0 | 352 | 0.2068 | 0.7758 | 0.8507 | 0.7312 |
| 0.1607 | 3.0 | 528 | 0.1438 | 0.8389 | 0.8810 | 0.8051 |
| 0.1238 | 4.0 | 704 | 0.1183 | 0.8747 | 0.9132 | 0.8336 |
| 0.0855 | 5.0 | 880 | 0.1186 | 0.8790 | 0.9141 | 0.8364 |
| 0.0792 | 6.0 | 1056 | 0.1292 | 0.8641 | 0.9015 | 0.8250 |
| 0.0553 | 7.0 | 1232 | 0.1248 | 0.8727 | 0.9152 | 0.8350 |
| 0.0584 | 8.0 | 1408 | 0.1296 | 0.8742 | 0.9180 | 0.8321 |
| 0.0652 | 9.0 | 1584 | 0.1361 | 0.8690 | 0.9121 | 0.8250 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025