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furina_seed42_eng_esp_hau_basic_2e-05
Shijia/furina_seed42_eng_esp_hau_basic_2e-05
furina_seed42_eng_esp_hau_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 15, 2024
- Updated
- Feb 15, 2024
- SHA
- bd897c92
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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_seed42_eng_esp_hau_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: 0.0221
- Spearman Corr: 0.7567
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 | 1.45 | 200 | 0.0291 | 0.6127 |
| 0.0714 | 2.91 | 400 | 0.0240 | 0.7147 |
| 0.0265 | 4.36 | 600 | 0.0235 | 0.7297 |
| 0.0265 | 5.82 | 800 | 0.0266 | 0.7353 |
| 0.0199 | 7.27 | 1000 | 0.0225 | 0.7407 |
| 0.016 | 8.73 | 1200 | 0.0233 | 0.7521 |
| 0.0127 | 10.18 | 1400 | 0.0232 | 0.7541 |
| 0.0127 | 11.64 | 1600 | 0.0237 | 0.7530 |
| 0.0107 | 13.09 | 1800 | 0.0219 | 0.7558 |
| 0.0088 | 14.55 | 2000 | 0.0233 | 0.7486 |
| 0.0078 | 16.0 | 2200 | 0.0219 | 0.7540 |
| 0.0078 | 17.45 | 2400 | 0.0224 | 0.7545 |
| 0.007 | 18.91 | 2600 | 0.0230 | 0.7599 |
| 0.0062 | 20.36 | 2800 | 0.0217 | 0.7575 |
| 0.0062 | 21.82 | 3000 | 0.0225 | 0.7569 |
| 0.0058 | 23.27 | 3200 | 0.0220 | 0.7563 |
| 0.0054 | 24.73 | 3400 | 0.0226 | 0.7551 |
| 0.0052 | 26.18 | 3600 | 0.0223 | 0.7564 |
| 0.0052 | 27.64 | 3800 | 0.0222 | 0.7565 |
| 0.0049 | 29.09 | 4000 | 0.0221 | 0.7567 |
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