metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_amh_corr_0.0001
results: []
furina_amh_corr_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: 0.0482
- Spearman Corr: nan
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 | 0.9 | 200 | 0.0468 | nan |
| No log | 1.81 | 400 | 0.0469 | nan |
| 0.0509 | 2.71 | 600 | 0.0479 | nan |
| 0.0509 | 3.62 | 800 | 0.0464 | nan |
| 0.0499 | 4.52 | 1000 | 0.0488 | -0.0029 |
| 0.0499 | 5.43 | 1200 | 0.0467 | nan |
| 0.0496 | 6.33 | 1400 | 0.0466 | nan |
| 0.0496 | 7.24 | 1600 | 0.0472 | nan |
| 0.0495 | 8.14 | 1800 | 0.0482 | nan |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2