metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_esp_corr_2e-05
results: []
furina_esp_corr_2e-05
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0212
- Spearman Corr: 0.7706
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 | 0.94 | 200 | 0.0219 | 0.7728 |
| No log | 1.89 | 400 | 0.0216 | 0.7705 |
| 0.0013 | 2.83 | 600 | 0.0212 | 0.7740 |
| 0.0013 | 3.77 | 800 | 0.0234 | 0.7700 |
| 0.0012 | 4.72 | 1000 | 0.0214 | 0.7691 |
| 0.0012 | 5.66 | 1200 | 0.0212 | 0.7732 |
| 0.0011 | 6.6 | 1400 | 0.0213 | 0.7725 |
| 0.0011 | 7.55 | 1600 | 0.0211 | 0.7716 |
| 0.001 | 8.49 | 1800 | 0.0210 | 0.7724 |
| 0.001 | 9.43 | 2000 | 0.0207 | 0.7712 |
| 0.0009 | 10.38 | 2200 | 0.0212 | 0.7706 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2