metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_basic_0.0001
results: []
furina_seed42_eng_kin_hau_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: 0.0341
- Spearman Corr: 0.7199
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 | 0.0334 | 0.6305 |
| 0.0623 | 3.19 | 400 | 0.0352 | 0.6918 |
| 0.0245 | 4.78 | 600 | 0.0459 | 0.7114 |
| 0.0165 | 6.37 | 800 | 0.0304 | 0.7227 |
| 0.0118 | 7.97 | 1000 | 0.0333 | 0.7242 |
| 0.0118 | 9.56 | 1200 | 0.0286 | 0.7290 |
| 0.0083 | 11.16 | 1400 | 0.0355 | 0.7148 |
| 0.0063 | 12.75 | 1600 | 0.0382 | 0.7262 |
| 0.0052 | 14.34 | 1800 | 0.0326 | 0.7264 |
| 0.0046 | 15.94 | 2000 | 0.0326 | 0.7237 |
| 0.0046 | 17.53 | 2200 | 0.0347 | 0.7257 |
| 0.0038 | 19.12 | 2400 | 0.0324 | 0.7254 |
| 0.0034 | 20.72 | 2600 | 0.0362 | 0.7210 |
| 0.0031 | 22.31 | 2800 | 0.0341 | 0.7199 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2