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furina_seed42_eng_esp_hau_basic_5e-06
Shijia/furina_seed42_eng_esp_hau_basic_5e-06
furina_seed42_eng_esp_hau_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 15, 2024
- Updated
- Feb 15, 2024
- SHA
- 2fa84496
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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_esp_hau_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: 0.0249
- Spearman Corr: 0.7476
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 | 1.45 | 200 | 0.0579 | 0.1807 |
| 0.1318 | 2.91 | 400 | 0.0365 | 0.5375 |
| 0.0455 | 4.36 | 600 | 0.0280 | 0.6335 |
| 0.0455 | 5.82 | 800 | 0.0251 | 0.6685 |
| 0.0329 | 7.27 | 1000 | 0.0255 | 0.6937 |
| 0.0273 | 8.73 | 1200 | 0.0238 | 0.7208 |
| 0.0247 | 10.18 | 1400 | 0.0232 | 0.7297 |
| 0.0247 | 11.64 | 1600 | 0.0238 | 0.7338 |
| 0.0229 | 13.09 | 1800 | 0.0232 | 0.7352 |
| 0.0214 | 14.55 | 2000 | 0.0237 | 0.7407 |
| 0.0204 | 16.0 | 2200 | 0.0246 | 0.7432 |
| 0.0204 | 17.45 | 2400 | 0.0253 | 0.7453 |
| 0.0191 | 18.91 | 2600 | 0.0254 | 0.7465 |
| 0.0181 | 20.36 | 2800 | 0.0256 | 0.7475 |
| 0.0181 | 21.82 | 3000 | 0.0249 | 0.7476 |
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