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furina_seed42_eng_esp_kin_basic_2e-05
Shijia/furina_seed42_eng_esp_kin_basic_2e-05
furina_seed42_eng_esp_kin_basic_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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024
- SHA
- ccf41fd3
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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. -->
furina_seed42_eng_esp_kin_basic_2e-05
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0287
- Spearman Corr: 0.7243
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 | 1.63 | 200 | 0.0273 | 0.6199 |
| 0.0785 | 3.27 | 400 | 0.0237 | 0.6780 |
| 0.0231 | 4.9 | 600 | 0.0289 | 0.7095 |
| 0.0171 | 6.53 | 800 | 0.0221 | 0.7230 |
| 0.0135 | 8.16 | 1000 | 0.0317 | 0.7194 |
| 0.0135 | 9.8 | 1200 | 0.0266 | 0.7238 |
| 0.0108 | 11.43 | 1400 | 0.0290 | 0.7264 |
| 0.0089 | 13.06 | 1600 | 0.0279 | 0.7195 |
| 0.0075 | 14.69 | 1800 | 0.0317 | 0.7258 |
| 0.0065 | 16.33 | 2000 | 0.0295 | 0.7245 |
| 0.0065 | 17.96 | 2200 | 0.0271 | 0.7201 |
| 0.0058 | 19.59 | 2400 | 0.0287 | 0.7243 |
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
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024