metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_basic_5e-06
results: []
furina_seed42_eng_basic_5e-06
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0179
- Spearman Corr: 0.7914
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: 5e-06
- 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 |
|---|---|---|---|---|
| 0.1741 | 2.33 | 200 | 0.0321 | 0.1668 |
| 0.0715 | 4.65 | 400 | 0.0148 | 0.7067 |
| 0.0342 | 6.98 | 600 | 0.0191 | 0.7501 |
| 0.0281 | 9.3 | 800 | 0.0140 | 0.7591 |
| 0.0247 | 11.63 | 1000 | 0.0130 | 0.7711 |
| 0.0201 | 13.95 | 1200 | 0.0171 | 0.7764 |
| 0.019 | 16.28 | 1400 | 0.0161 | 0.7852 |
| 0.0178 | 18.6 | 1600 | 0.0146 | 0.7903 |
| 0.017 | 20.93 | 1800 | 0.0201 | 0.7889 |
| 0.0163 | 23.26 | 2000 | 0.0183 | 0.7923 |
| 0.0159 | 25.58 | 2200 | 0.0180 | 0.7907 |
| 0.0153 | 27.91 | 2400 | 0.0179 | 0.7914 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2