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furina_seed42_eng_amh_esp_basic
Shijia/furina_seed42_eng_amh_esp_basic
furina_seed42_eng_amh_esp_basic 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 14, 2024
- Updated
- Feb 14, 2024
- SHA
- deed30ad
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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
This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0215
- Spearman Corr: 0.7964
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 | 1.76 | 200 | 0.0220 | 0.7121 |
| 0.0794 | 3.52 | 400 | 0.0219 | 0.7836 |
| 0.0236 | 5.29 | 600 | 0.0310 | 0.7932 |
| 0.0176 | 7.05 | 800 | 0.0201 | 0.7950 |
| 0.0136 | 8.81 | 1000 | 0.0218 | 0.7973 |
| 0.0113 | 10.57 | 1200 | 0.0211 | 0.7975 |
| 0.0097 | 12.33 | 1400 | 0.0238 | 0.7996 |
| 0.008 | 14.1 | 1600 | 0.0228 | 0.8032 |
| 0.008 | 15.86 | 1800 | 0.0239 | 0.8028 |
| 0.0071 | 17.62 | 2000 | 0.0232 | 0.8007 |
| 0.0063 | 19.38 | 2200 | 0.0224 | 0.7948 |
| 0.0058 | 21.15 | 2400 | 0.0215 | 0.7964 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024