metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_eng_train_spearman_corr
results: []
furina_eng_train_spearman_corr
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0236
- Spearman Corr: 0.7826
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 |
|---|---|---|---|---|
| 0.0998 | 2.33 | 200 | 0.0146 | 0.7469 |
| 0.025 | 4.65 | 400 | 0.0226 | 0.7908 |
| 0.0171 | 6.98 | 600 | 0.0186 | 0.7648 |
| 0.0136 | 9.3 | 800 | 0.0169 | 0.7634 |
| 0.0114 | 11.63 | 1000 | 0.0214 | 0.7722 |
| 0.0081 | 13.95 | 1200 | 0.0221 | 0.7833 |
| 0.0072 | 16.28 | 1400 | 0.0228 | 0.7853 |
| 0.0065 | 18.6 | 1600 | 0.0245 | 0.7759 |
| 0.006 | 20.93 | 1800 | 0.0286 | 0.7788 |
| 0.0056 | 23.26 | 2000 | 0.0236 | 0.7826 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2