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xlm-roberta-base_lr5e-06_seed42_basic_eng_train
shanhy/xlm-roberta-base_lr5e-06_seed42_basic_eng_train
xlm-roberta-base_lr5e-06_seed42_basic_eng_train is a text classification model from shanhy. 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
- 62f0e5df
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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_lr5e-06_seed42_basic_eng_train
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: 0.0269
- Spearman Corr: 0.8037
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: 5e-06
- 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 |
|---|---|---|---|---|
| 0.118 | 2.33 | 200 | 0.0131 | 0.7608 |
| 0.0306 | 4.65 | 400 | 0.0163 | 0.7890 |
| 0.0248 | 6.98 | 600 | 0.0188 | 0.7988 |
| 0.0216 | 9.3 | 800 | 0.0272 | 0.7926 |
| 0.0201 | 11.63 | 1000 | 0.0228 | 0.8040 |
| 0.0171 | 13.95 | 1200 | 0.0208 | 0.8059 |
| 0.0158 | 16.28 | 1400 | 0.0271 | 0.8070 |
| 0.0145 | 18.6 | 1600 | 0.0236 | 0.8062 |
| 0.0139 | 20.93 | 1800 | 0.0279 | 0.8020 |
| 0.0132 | 23.26 | 2000 | 0.0243 | 0.8010 |
| 0.013 | 25.58 | 2200 | 0.0269 | 0.8037 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+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