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furina_seed42_eng_amh_esp_basic_2e-05
Shijia/furina_seed42_eng_amh_esp_basic_2e-05
furina_seed42_eng_amh_esp_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 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 29e18d2d
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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_amh_esp_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: 0.0184
- Spearman Corr: 0.7633
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 | 0.0194 | 0.6961 |
| 0.0713 | 3.17 | 400 | 0.0205 | 0.7332 |
| 0.0215 | 4.76 | 600 | 0.0163 | 0.7600 |
| 0.0164 | 6.35 | 800 | 0.0180 | 0.7671 |
| 0.0164 | 7.94 | 1000 | 0.0175 | 0.7687 |
| 0.0134 | 9.52 | 1200 | 0.0184 | 0.7775 |
| 0.0111 | 11.11 | 1400 | 0.0161 | 0.7727 |
| 0.0093 | 12.7 | 1600 | 0.0169 | 0.7679 |
| 0.0078 | 14.29 | 1800 | 0.0182 | 0.7689 |
| 0.0078 | 15.87 | 2000 | 0.0187 | 0.7668 |
| 0.0071 | 17.46 | 2200 | 0.0188 | 0.7705 |
| 0.006 | 19.05 | 2400 | 0.0181 | 0.7702 |
| 0.0056 | 20.63 | 2600 | 0.0176 | 0.7625 |
| 0.0051 | 22.22 | 2800 | 0.0186 | 0.7680 |
| 0.0051 | 23.81 | 3000 | 0.0184 | 0.7633 |
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 16, 2024
- Updated
- Feb 16, 2024