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furina_seed42_eng_kin_hau_basic_2e-05
Shijia/furina_seed42_eng_kin_hau_basic_2e-05
furina_seed42_eng_kin_hau_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
- 7b01d83a
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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_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: 0.0261
- Spearman Corr: 0.7485
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 | 1.59 | 200 | 0.0355 | 0.6099 |
| 0.0837 | 3.19 | 400 | 0.0284 | 0.7050 |
| 0.0265 | 4.78 | 600 | 0.0265 | 0.7290 |
| 0.0202 | 6.37 | 800 | 0.0257 | 0.7317 |
| 0.0153 | 7.97 | 1000 | 0.0252 | 0.7333 |
| 0.0153 | 9.56 | 1200 | 0.0254 | 0.7464 |
| 0.0126 | 11.16 | 1400 | 0.0243 | 0.7483 |
| 0.0109 | 12.75 | 1600 | 0.0254 | 0.7467 |
| 0.009 | 14.34 | 1800 | 0.0253 | 0.7463 |
| 0.0081 | 15.94 | 2000 | 0.0259 | 0.7450 |
| 0.0081 | 17.53 | 2200 | 0.0258 | 0.7454 |
| 0.0072 | 19.12 | 2400 | 0.0249 | 0.7474 |
| 0.0066 | 20.72 | 2600 | 0.0264 | 0.7453 |
| 0.0061 | 22.31 | 2800 | 0.0252 | 0.7463 |
| 0.0057 | 23.9 | 3000 | 0.0261 | 0.7485 |
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