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furina_seed42_eng_kin_hau_basic_5e-06
Shijia/furina_seed42_eng_kin_hau_basic_5e-06
furina_seed42_eng_kin_hau_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
- 600ded44
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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_kin_hau_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: 0.0266
- Spearman Corr: 0.7441
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 | 1.59 | 200 | 0.0747 | 0.1638 |
| 0.1417 | 3.19 | 400 | 0.0459 | 0.4336 |
| 0.0661 | 4.78 | 600 | 0.0364 | 0.6237 |
| 0.0367 | 6.37 | 800 | 0.0314 | 0.6619 |
| 0.0293 | 7.97 | 1000 | 0.0302 | 0.6957 |
| 0.0293 | 9.56 | 1200 | 0.0298 | 0.7101 |
| 0.0253 | 11.16 | 1400 | 0.0286 | 0.7235 |
| 0.0229 | 12.75 | 1600 | 0.0276 | 0.7291 |
| 0.0212 | 14.34 | 1800 | 0.0271 | 0.7317 |
| 0.02 | 15.94 | 2000 | 0.0263 | 0.7372 |
| 0.02 | 17.53 | 2200 | 0.0279 | 0.7384 |
| 0.0188 | 19.12 | 2400 | 0.0279 | 0.7397 |
| 0.018 | 20.72 | 2600 | 0.0274 | 0.7390 |
| 0.0172 | 22.31 | 2800 | 0.0257 | 0.7430 |
| 0.0165 | 23.9 | 3000 | 0.0270 | 0.7419 |
| 0.0165 | 25.5 | 3200 | 0.0270 | 0.7409 |
| 0.0164 | 27.09 | 3400 | 0.0270 | 0.7449 |
| 0.0155 | 28.69 | 3600 | 0.0266 | 0.7441 |
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