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furina_seed42_eng_esp_hau_basic_0.0001
Shijia/furina_seed42_eng_esp_hau_basic_0.0001
furina_seed42_eng_esp_hau_basic_0.0001 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
- 27fb92e4
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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_0.0001
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0312
- Spearman Corr: 0.7194
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: 0.0001
- 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 | 0.0282 | 0.6099 |
| 0.0652 | 2.91 | 400 | 0.0303 | 0.6702 |
| 0.0263 | 4.36 | 600 | 0.0301 | 0.7175 |
| 0.0263 | 5.82 | 800 | 0.0333 | 0.7147 |
| 0.0178 | 7.27 | 1000 | 0.0346 | 0.7279 |
| 0.0123 | 8.73 | 1200 | 0.0274 | 0.7307 |
| 0.0089 | 10.18 | 1400 | 0.0290 | 0.7331 |
| 0.0089 | 11.64 | 1600 | 0.0302 | 0.7243 |
| 0.0064 | 13.09 | 1800 | 0.0292 | 0.7243 |
| 0.0052 | 14.55 | 2000 | 0.0297 | 0.7253 |
| 0.0044 | 16.0 | 2200 | 0.0335 | 0.7158 |
| 0.0044 | 17.45 | 2400 | 0.0313 | 0.7319 |
| 0.0038 | 18.91 | 2600 | 0.0289 | 0.7169 |
| 0.0032 | 20.36 | 2800 | 0.0312 | 0.7194 |
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