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furina_esp-kin-eng_train_spearman_corr
shanhy/furina_esp-kin-eng_train_spearman_corr
furina_esp-kin-eng_train_spearman_corr is a text classification model from shanhy. 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
- 5c6430b7
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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_esp-kin-eng_train_spearman_corr
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0372
- Spearman Corr: 0.7024
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 | 0.54 | 200 | 0.0322 | 0.5724 |
| No log | 1.09 | 400 | 0.0475 | 0.6400 |
| No log | 1.63 | 600 | 0.0262 | 0.6581 |
| 0.0445 | 2.18 | 800 | 0.0427 | 0.6875 |
| 0.0445 | 2.72 | 1000 | 0.0264 | 0.6885 |
| 0.0445 | 3.27 | 1200 | 0.0290 | 0.6908 |
| 0.0445 | 3.81 | 1400 | 0.0257 | 0.7091 |
| 0.0191 | 4.35 | 1600 | 0.0343 | 0.7071 |
| 0.0191 | 4.9 | 1800 | 0.0313 | 0.7137 |
| 0.0191 | 5.44 | 2000 | 0.0344 | 0.7065 |
| 0.0191 | 5.99 | 2200 | 0.0255 | 0.7032 |
| 0.0129 | 6.53 | 2400 | 0.0385 | 0.7053 |
| 0.0129 | 7.07 | 2600 | 0.0362 | 0.7024 |
| 0.0129 | 7.62 | 2800 | 0.0289 | 0.7057 |
| 0.009 | 8.16 | 3000 | 0.0327 | 0.7032 |
| 0.009 | 8.71 | 3200 | 0.0331 | 0.6896 |
| 0.009 | 9.25 | 3400 | 0.0372 | 0.7024 |
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