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furina_amh_loss_5e-06
Shijia/furina_amh_loss_5e-06
furina_amh_loss_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 16, 2024
- Updated
- Feb 16, 2024
- SHA
- c401199d
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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_loss_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: 0.0217
- Spearman Corr: 0.7656
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 | 0.9 | 200 | 0.0216 | 0.7717 |
| No log | 1.81 | 400 | 0.0218 | 0.7610 |
| 0.0114 | 2.71 | 600 | 0.0208 | 0.7649 |
| 0.0114 | 3.62 | 800 | 0.0212 | 0.7676 |
| 0.0112 | 4.52 | 1000 | 0.0203 | 0.7720 |
| 0.0112 | 5.43 | 1200 | 0.0212 | 0.7668 |
| 0.0103 | 6.33 | 1400 | 0.0219 | 0.7689 |
| 0.0103 | 7.24 | 1600 | 0.0213 | 0.7661 |
| 0.0095 | 8.14 | 1800 | 0.0211 | 0.7658 |
| 0.0095 | 9.05 | 2000 | 0.0211 | 0.7682 |
| 0.0095 | 9.95 | 2200 | 0.0211 | 0.7678 |
| 0.0089 | 10.86 | 2400 | 0.0217 | 0.7654 |
| 0.0089 | 11.76 | 2600 | 0.0217 | 0.7656 |
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