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furina_seed42_eng_basic_0.0001
Shijia/furina_seed42_eng_basic_0.0001
furina_seed42_eng_basic_0.0001 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
- d85cb2fb
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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_basic_0.0001
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0264
- Spearman Corr: 0.7658
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: 0.0001
- 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 |
|---|---|---|---|---|
| 0.0829 | 2.33 | 200 | 0.0263 | 0.1504 |
| 0.0419 | 4.65 | 400 | 0.0243 | 0.7133 |
| 0.0205 | 6.98 | 600 | 0.0234 | 0.7782 |
| 0.012 | 9.3 | 800 | 0.0398 | 0.7527 |
| 0.0081 | 11.63 | 1000 | 0.0276 | 0.7545 |
| 0.0051 | 13.95 | 1200 | 0.0326 | 0.7530 |
| 0.0047 | 16.28 | 1400 | 0.0268 | 0.7556 |
| 0.0039 | 18.6 | 1600 | 0.0271 | 0.7627 |
| 0.0037 | 20.93 | 1800 | 0.0204 | 0.7698 |
| 0.0033 | 23.26 | 2000 | 0.0264 | 0.7606 |
| 0.0029 | 25.58 | 2200 | 0.0268 | 0.7685 |
| 0.0025 | 27.91 | 2400 | 0.0264 | 0.7658 |
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