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furina_amh_corr_2e-05
Shijia/furina_amh_corr_2e-05
furina_amh_corr_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 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 3f9e4ca3
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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_amh_corr_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: 0.0255
- Spearman Corr: 0.7661
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 | 0.9 | 200 | 0.0228 | 0.7682 |
| No log | 1.81 | 400 | 0.0219 | 0.7622 |
| 0.0074 | 2.71 | 600 | 0.0265 | 0.7692 |
| 0.0074 | 3.62 | 800 | 0.0293 | 0.7731 |
| 0.0059 | 4.52 | 1000 | 0.0217 | 0.7782 |
| 0.0059 | 5.43 | 1200 | 0.0239 | 0.7679 |
| 0.005 | 6.33 | 1400 | 0.0227 | 0.7710 |
| 0.005 | 7.24 | 1600 | 0.0234 | 0.7666 |
| 0.0042 | 8.14 | 1800 | 0.0242 | 0.7729 |
| 0.0042 | 9.05 | 2000 | 0.0225 | 0.7674 |
| 0.0042 | 9.95 | 2200 | 0.0233 | 0.7682 |
| 0.0038 | 10.86 | 2400 | 0.0228 | 0.7659 |
| 0.0038 | 11.76 | 2600 | 0.0255 | 0.7661 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024