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furina_seed42_eng_amh_esp_basic_0.0001
Shijia/furina_seed42_eng_amh_esp_basic_0.0001
furina_seed42_eng_amh_esp_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 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 950419d7
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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_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: 0.0216
- Spearman Corr: 0.7654
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 | 1.59 | 200 | 0.0271 | 0.7362 |
| 0.0397 | 3.17 | 400 | 0.0172 | 0.7582 |
| 0.0162 | 4.76 | 600 | 0.0243 | 0.7402 |
| 0.0094 | 6.35 | 800 | 0.0212 | 0.7563 |
| 0.0094 | 7.94 | 1000 | 0.0300 | 0.7421 |
| 0.0066 | 9.52 | 1200 | 0.0228 | 0.7595 |
| 0.0049 | 11.11 | 1400 | 0.0244 | 0.7605 |
| 0.0042 | 12.7 | 1600 | 0.0199 | 0.7624 |
| 0.0034 | 14.29 | 1800 | 0.0198 | 0.7566 |
| 0.0034 | 15.87 | 2000 | 0.0216 | 0.7654 |
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