---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_ary_corr_2e-05
  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_ary_corr_2e-05

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: 0.0211
- Spearman Corr: 0.7761

## 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        | 0.9   | 200  | 0.0219          | 0.7722        |
| No log        | 1.8   | 400  | 0.0212          | 0.7719        |
| 0.0017        | 2.7   | 600  | 0.0212          | 0.7705        |
| 0.0017        | 3.6   | 800  | 0.0210          | 0.7705        |
| 0.0016        | 4.5   | 1000 | 0.0212          | 0.7732        |
| 0.0016        | 5.41  | 1200 | 0.0211          | 0.7715        |
| 0.0014        | 6.31  | 1400 | 0.0219          | 0.7752        |
| 0.0014        | 7.21  | 1600 | 0.0213          | 0.7726        |
| 0.0013        | 8.11  | 1800 | 0.0215          | 0.7717        |
| 0.0013        | 9.01  | 2000 | 0.0222          | 0.7764        |
| 0.0013        | 9.91  | 2200 | 0.0212          | 0.7734        |
| 0.0013        | 10.81 | 2400 | 0.0214          | 0.7714        |
| 0.0013        | 11.71 | 2600 | 0.0206          | 0.7722        |
| 0.0012        | 12.61 | 2800 | 0.0222          | 0.7719        |
| 0.0012        | 13.51 | 3000 | 0.0210          | 0.7723        |
| 0.0012        | 14.41 | 3200 | 0.0211          | 0.7715        |
| 0.0012        | 15.32 | 3400 | 0.0206          | 0.7762        |
| 0.0011        | 16.22 | 3600 | 0.0211          | 0.7761        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2