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xlmroberta_clir_back_val_kin_mixup
Shijia/xlmroberta_clir_back_val_kin_mixup
xlmroberta_clir_back_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
- d1b36537
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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_back_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: 0.1157
- Spearman Corr: 0.2950
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 | 0.0961 | 0.2334 |
| 0.076 | 2.0 | 516 | 0.1302 | 0.2910 |
| 0.076 | 3.0 | 774 | 0.1486 | 0.3241 |
| 0.0345 | 4.0 | 1032 | 0.1838 | 0.2868 |
| 0.0345 | 5.0 | 1290 | 0.1280 | 0.3002 |
| 0.0206 | 6.0 | 1548 | 0.1525 | 0.3155 |
| 0.0206 | 7.0 | 1806 | 0.1285 | 0.3167 |
| 0.0149 | 8.0 | 2064 | 0.1127 | 0.3023 |
| 0.0149 | 9.0 | 2322 | 0.1136 | 0.2949 |
| 0.0117 | 10.0 | 2580 | 0.1157 | 0.2950 |
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