---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_cross_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_seed42_eng_kin_hau_cross_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: 0.0268
- Spearman Corr: 0.7372

## 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        | 0.53  | 200  | 0.0336          | 0.6022        |
| No log        | 1.06  | 400  | 0.0303          | 0.6548        |
| No log        | 1.6   | 600  | 0.0329          | 0.6851        |
| 0.0491        | 2.13  | 800  | 0.0288          | 0.7186        |
| 0.0491        | 2.66  | 1000 | 0.0258          | 0.7170        |
| 0.0491        | 3.19  | 1200 | 0.0272          | 0.7286        |
| 0.0491        | 3.72  | 1400 | 0.0285          | 0.7289        |
| 0.0229        | 4.26  | 1600 | 0.0264          | 0.7193        |
| 0.0229        | 4.79  | 1800 | 0.0303          | 0.7334        |
| 0.0229        | 5.32  | 2000 | 0.0257          | 0.7393        |
| 0.0229        | 5.85  | 2200 | 0.0260          | 0.7466        |
| 0.0159        | 6.38  | 2400 | 0.0251          | 0.7402        |
| 0.0159        | 6.91  | 2600 | 0.0256          | 0.7396        |
| 0.0159        | 7.45  | 2800 | 0.0266          | 0.7453        |
| 0.0159        | 7.98  | 3000 | 0.0268          | 0.7395        |
| 0.0114        | 8.51  | 3200 | 0.0266          | 0.7433        |
| 0.0114        | 9.04  | 3400 | 0.0261          | 0.7459        |
| 0.0114        | 9.57  | 3600 | 0.0260          | 0.7410        |
| 0.0087        | 10.11 | 3800 | 0.0274          | 0.7428        |
| 0.0087        | 10.64 | 4000 | 0.0268          | 0.7372        |


### Framework versions

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