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furina_seed42_eng_kin_amh_basic_0.0001
Shijia/furina_seed42_eng_kin_amh_basic_0.0001
furina_seed42_eng_kin_amh_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
- 96a41807
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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_kin_amh_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: 0.0286
- Spearman Corr: 0.7423
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 | 1.75 | 200 | 0.0352 | 0.5952 |
| 0.0595 | 3.51 | 400 | 0.0331 | 0.6921 |
| 0.0223 | 5.26 | 600 | 0.0303 | 0.7036 |
| 0.013 | 7.02 | 800 | 0.0320 | 0.7059 |
| 0.0094 | 8.77 | 1000 | 0.0320 | 0.7261 |
| 0.0067 | 10.53 | 1200 | 0.0331 | 0.7353 |
| 0.005 | 12.28 | 1400 | 0.0293 | 0.7446 |
| 0.0042 | 14.04 | 1600 | 0.0251 | 0.7440 |
| 0.0042 | 15.79 | 1800 | 0.0284 | 0.7340 |
| 0.0036 | 17.54 | 2000 | 0.0306 | 0.7380 |
| 0.0033 | 19.3 | 2200 | 0.0267 | 0.7394 |
| 0.0029 | 21.05 | 2400 | 0.0269 | 0.7404 |
| 0.0026 | 22.81 | 2600 | 0.0279 | 0.7402 |
| 0.0024 | 24.56 | 2800 | 0.0278 | 0.7418 |
| 0.0022 | 26.32 | 3000 | 0.0288 | 0.7384 |
| 0.002 | 28.07 | 3200 | 0.0286 | 0.7423 |
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