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xlm-roberta-base_afr_corr_2e-05
Shijia/xlm-roberta-base_afr_corr_2e-05
xlm-roberta-base_afr_corr_2e-05 is a text classification model from Shijia. 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 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 66d34971
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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_afr_corr_2e-05
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: 0.0247
- Spearman Corr: 0.7652
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: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|---|---|---|---|---|
| No log | 0.85 | 200 | 0.0241 | 0.7200 |
| No log | 1.69 | 400 | 0.0232 | 0.7362 |
| 0.0345 | 2.54 | 600 | 0.0222 | 0.7615 |
| 0.0345 | 3.38 | 800 | 0.0251 | 0.7573 |
| 0.02 | 4.23 | 1000 | 0.0275 | 0.7726 |
| 0.02 | 5.07 | 1200 | 0.0240 | 0.7713 |
| 0.02 | 5.92 | 1400 | 0.0251 | 0.7692 |
| 0.0149 | 6.77 | 1600 | 0.0227 | 0.7615 |
| 0.0149 | 7.61 | 1800 | 0.0216 | 0.7669 |
| 0.0112 | 8.46 | 2000 | 0.0247 | 0.7666 |
| 0.0112 | 9.3 | 2200 | 0.0263 | 0.7727 |
| 0.0089 | 10.15 | 2400 | 0.0244 | 0.7622 |
| 0.0089 | 10.99 | 2600 | 0.0239 | 0.7651 |
| 0.0089 | 11.84 | 2800 | 0.0249 | 0.7589 |
| 0.0071 | 12.68 | 3000 | 0.0241 | 0.7608 |
| 0.0071 | 13.53 | 3200 | 0.0248 | 0.7671 |
| 0.0059 | 14.38 | 3400 | 0.0248 | 0.7694 |
| 0.0059 | 15.22 | 3600 | 0.0249 | 0.7628 |
| 0.0051 | 16.07 | 3800 | 0.0247 | 0.7652 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024