---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_basic
  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_basic

This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0273
- Spearman Corr: 0.8040

## 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        | 1.77  | 200  | 0.0339          | 0.7391        |
| 0.0845        | 3.54  | 400  | 0.0337          | 0.7909        |
| 0.0273        | 5.31  | 600  | 0.0228          | 0.8081        |
| 0.0199        | 7.08  | 800  | 0.0229          | 0.8163        |
| 0.0152        | 8.85  | 1000 | 0.0241          | 0.8102        |
| 0.0123        | 10.62 | 1200 | 0.0278          | 0.8168        |
| 0.0102        | 12.39 | 1400 | 0.0282          | 0.8072        |
| 0.0087        | 14.16 | 1600 | 0.0210          | 0.8108        |
| 0.008         | 15.93 | 1800 | 0.0234          | 0.8106        |
| 0.008         | 17.7  | 2000 | 0.0278          | 0.8059        |
| 0.0069        | 19.47 | 2200 | 0.0308          | 0.8107        |
| 0.0063        | 21.24 | 2400 | 0.0257          | 0.8127        |
| 0.0057        | 23.01 | 2600 | 0.0257          | 0.8095        |
| 0.0055        | 24.78 | 2800 | 0.0250          | 0.8077        |
| 0.0051        | 26.55 | 3000 | 0.0252          | 0.8055        |
| 0.005         | 28.32 | 3200 | 0.0273          | 0.8040        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1