---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_cross_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_seed42_eng_kin_hau_cross_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: 0.0271
- Spearman Corr: 0.7253

## 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        | 0.53  | 200  | 0.0620          | 0.0297        |
| No log        | 1.06  | 400  | 0.0452          | 0.4298        |
| No log        | 1.6   | 600  | 0.0368          | 0.5777        |
| 0.0775        | 2.13  | 800  | 0.0330          | 0.6272        |
| 0.0775        | 2.66  | 1000 | 0.0368          | 0.6536        |
| 0.0775        | 3.19  | 1200 | 0.0303          | 0.6597        |
| 0.0775        | 3.72  | 1400 | 0.0300          | 0.6759        |
| 0.0336        | 4.26  | 1600 | 0.0282          | 0.6848        |
| 0.0336        | 4.79  | 1800 | 0.0277          | 0.6941        |
| 0.0336        | 5.32  | 2000 | 0.0269          | 0.7028        |
| 0.0336        | 5.85  | 2200 | 0.0283          | 0.7096        |
| 0.0286        | 6.38  | 2400 | 0.0271          | 0.7074        |
| 0.0286        | 6.91  | 2600 | 0.0271          | 0.7052        |
| 0.0286        | 7.45  | 2800 | 0.0276          | 0.7198        |
| 0.0286        | 7.98  | 3000 | 0.0270          | 0.7159        |
| 0.0252        | 8.51  | 3200 | 0.0277          | 0.7255        |
| 0.0252        | 9.04  | 3400 | 0.0268          | 0.7229        |
| 0.0252        | 9.57  | 3600 | 0.0271          | 0.7253        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2