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furina_seed42_eng_amh_esp_basic_5e-06
Shijia/furina_seed42_eng_amh_esp_basic_5e-06
furina_seed42_eng_amh_esp_basic_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
- 1a765493
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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_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: 0.0213
- Spearman Corr: 0.7510
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 | 1.59 | 200 | 0.0439 | 0.1550 |
| 0.1335 | 3.17 | 400 | 0.0317 | 0.6373 |
| 0.0485 | 4.76 | 600 | 0.0210 | 0.6957 |
| 0.0295 | 6.35 | 800 | 0.0249 | 0.7234 |
| 0.0295 | 7.94 | 1000 | 0.0196 | 0.7301 |
| 0.0243 | 9.52 | 1200 | 0.0195 | 0.7405 |
| 0.0221 | 11.11 | 1400 | 0.0214 | 0.7448 |
| 0.02 | 12.7 | 1600 | 0.0237 | 0.7426 |
| 0.0187 | 14.29 | 1800 | 0.0198 | 0.7470 |
| 0.0187 | 15.87 | 2000 | 0.0208 | 0.7501 |
| 0.0176 | 17.46 | 2200 | 0.0240 | 0.7495 |
| 0.0163 | 19.05 | 2400 | 0.0212 | 0.7518 |
| 0.0158 | 20.63 | 2600 | 0.0237 | 0.7475 |
| 0.0154 | 22.22 | 2800 | 0.0213 | 0.7510 |
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