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xlmroberta_clir_all_origin_val_kin_mixup
Shijia/xlmroberta_clir_all_origin_val_kin_mixup
xlmroberta_clir_all_origin_val_kin_mixup 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
- roberta
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- 3af25328
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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. -->
xlmroberta_clir_all_origin_val_kin_mixup
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1097
- Spearman Corr: 0.2616
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|---|---|---|---|---|
| No log | 1.0 | 258 | 0.0587 | 0.2886 |
| 0.0681 | 2.0 | 516 | 0.1158 | 0.2977 |
| 0.0681 | 3.0 | 774 | 0.0839 | 0.3125 |
| 0.0309 | 4.0 | 1032 | 0.1492 | 0.2905 |
| 0.0309 | 5.0 | 1290 | 0.2482 | 0.2500 |
| 0.0192 | 6.0 | 1548 | 0.1270 | 0.2765 |
| 0.0192 | 7.0 | 1806 | 0.1180 | 0.2759 |
| 0.0133 | 8.0 | 2064 | 0.0971 | 0.2750 |
| 0.0133 | 9.0 | 2322 | 0.1049 | 0.2641 |
| 0.0108 | 10.0 | 2580 | 0.1097 | 0.2616 |
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
- roberta
- License
- mit
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024