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xlm-roberta-base-arq-MICRO
sercetexam9/xlm-roberta-base-arq-MICRO
xlm-roberta-base-arq-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
- 23d9200f
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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-arq-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: 0.4506
- F1: 0.6434
- Roc Auc: 0.7503
- Accuracy: 0.3123
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 |
|---|---|---|---|---|---|---|
| 0.5716 | 1.0 | 96 | 0.5541 | 0.0370 | 0.5083 | 0.1286 |
| 0.5634 | 2.0 | 192 | 0.5323 | 0.2451 | 0.5635 | 0.1522 |
| 0.518 | 3.0 | 288 | 0.5052 | 0.4986 | 0.6587 | 0.2178 |
| 0.493 | 4.0 | 384 | 0.4896 | 0.5206 | 0.6725 | 0.2205 |
| 0.4616 | 5.0 | 480 | 0.4579 | 0.5512 | 0.6900 | 0.2520 |
| 0.4037 | 6.0 | 576 | 0.4506 | 0.6113 | 0.7286 | 0.2887 |
| 0.3587 | 7.0 | 672 | 0.4666 | 0.6148 | 0.7321 | 0.2887 |
| 0.3089 | 8.0 | 768 | 0.4432 | 0.6124 | 0.7276 | 0.2992 |
| 0.3018 | 9.0 | 864 | 0.4506 | 0.6434 | 0.7503 | 0.3123 |
| 0.2472 | 10.0 | 960 | 0.4670 | 0.5953 | 0.7154 | 0.3018 |
| 0.2252 | 11.0 | 1056 | 0.4725 | 0.6315 | 0.7413 | 0.3045 |
| 0.2102 | 12.0 | 1152 | 0.4860 | 0.6043 | 0.7221 | 0.2992 |
| 0.1894 | 13.0 | 1248 | 0.4921 | 0.6301 | 0.7424 | 0.2940 |
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