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---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_arb_loss_5e-06
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# furina_arb_loss_5e-06
This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0220
- Spearman Corr: 0.7588
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| No log | 0.85 | 200 | 0.0221 | 0.7674 |
| No log | 1.69 | 400 | 0.0210 | 0.7644 |
| 0.0075 | 2.54 | 600 | 0.0229 | 0.7608 |
| 0.0075 | 3.38 | 800 | 0.0218 | 0.7606 |
| 0.0087 | 4.23 | 1000 | 0.0234 | 0.7655 |
| 0.0087 | 5.07 | 1200 | 0.0213 | 0.7676 |
| 0.0087 | 5.92 | 1400 | 0.0208 | 0.7668 |
| 0.0079 | 6.77 | 1600 | 0.0219 | 0.7634 |
| 0.0079 | 7.61 | 1800 | 0.0222 | 0.7608 |
| 0.0073 | 8.46 | 2000 | 0.0222 | 0.7608 |
| 0.0073 | 9.3 | 2200 | 0.0220 | 0.7613 |
| 0.0068 | 10.15 | 2400 | 0.0224 | 0.7638 |
| 0.0068 | 10.99 | 2600 | 0.0214 | 0.7637 |
| 0.0068 | 11.84 | 2800 | 0.0222 | 0.7619 |
| 0.0064 | 12.68 | 3000 | 0.0220 | 0.7588 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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