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furina_seed42_eng_esp_kin_basic_5e-06
Shijia/furina_seed42_eng_esp_kin_basic_5e-06
furina_seed42_eng_esp_kin_basic_5e-06 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
- 0090265a
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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_5e-06
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0246
- Spearman Corr: 0.7089
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 |
|---|---|---|---|---|
| No log | 1.63 | 200 | 0.0555 | 0.1927 |
| 0.1485 | 3.27 | 400 | 0.0295 | 0.5212 |
| 0.0499 | 4.9 | 600 | 0.0270 | 0.5827 |
| 0.0297 | 6.53 | 800 | 0.0263 | 0.6144 |
| 0.025 | 8.16 | 1000 | 0.0274 | 0.6415 |
| 0.025 | 9.8 | 1200 | 0.0245 | 0.6578 |
| 0.0229 | 11.43 | 1400 | 0.0271 | 0.6716 |
| 0.0209 | 13.06 | 1600 | 0.0256 | 0.6775 |
| 0.0194 | 14.69 | 1800 | 0.0237 | 0.6853 |
| 0.0183 | 16.33 | 2000 | 0.0245 | 0.6979 |
| 0.0183 | 17.96 | 2200 | 0.0260 | 0.6951 |
| 0.0172 | 19.59 | 2400 | 0.0256 | 0.6999 |
| 0.0165 | 21.22 | 2600 | 0.0240 | 0.7056 |
| 0.0158 | 22.86 | 2800 | 0.0239 | 0.7050 |
| 0.0154 | 24.49 | 3000 | 0.0244 | 0.7078 |
| 0.0148 | 26.12 | 3200 | 0.0246 | 0.7087 |
| 0.0148 | 27.76 | 3400 | 0.0246 | 0.7089 |
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