---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_basic_5e-06
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# furina_seed42_eng_kin_hau_basic_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: 0.0266
- Spearman Corr: 0.7441

## 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        | 1.59  | 200  | 0.0747          | 0.1638        |
| 0.1417        | 3.19  | 400  | 0.0459          | 0.4336        |
| 0.0661        | 4.78  | 600  | 0.0364          | 0.6237        |
| 0.0367        | 6.37  | 800  | 0.0314          | 0.6619        |
| 0.0293        | 7.97  | 1000 | 0.0302          | 0.6957        |
| 0.0293        | 9.56  | 1200 | 0.0298          | 0.7101        |
| 0.0253        | 11.16 | 1400 | 0.0286          | 0.7235        |
| 0.0229        | 12.75 | 1600 | 0.0276          | 0.7291        |
| 0.0212        | 14.34 | 1800 | 0.0271          | 0.7317        |
| 0.02          | 15.94 | 2000 | 0.0263          | 0.7372        |
| 0.02          | 17.53 | 2200 | 0.0279          | 0.7384        |
| 0.0188        | 19.12 | 2400 | 0.0279          | 0.7397        |
| 0.018         | 20.72 | 2600 | 0.0274          | 0.7390        |
| 0.0172        | 22.31 | 2800 | 0.0257          | 0.7430        |
| 0.0165        | 23.9  | 3000 | 0.0270          | 0.7419        |
| 0.0165        | 25.5  | 3200 | 0.0270          | 0.7409        |
| 0.0164        | 27.09 | 3400 | 0.0270          | 0.7449        |
| 0.0155        | 28.69 | 3600 | 0.0266          | 0.7441        |


### Framework versions

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