---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_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_amh_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: 0.0232
- Spearman Corr: 0.7701

## 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        | 0.52  | 200  | 0.0299          | 0.6210        |
| No log        | 1.04  | 400  | 0.0272          | 0.6985        |
| No log        | 1.55  | 600  | 0.0249          | 0.7315        |
| 0.0481        | 2.07  | 800  | 0.0275          | 0.7413        |
| 0.0481        | 2.59  | 1000 | 0.0223          | 0.7551        |
| 0.0481        | 3.11  | 1200 | 0.0208          | 0.7640        |
| 0.0481        | 3.63  | 1400 | 0.0212          | 0.7648        |
| 0.0233        | 4.15  | 1600 | 0.0210          | 0.7682        |
| 0.0233        | 4.66  | 1800 | 0.0231          | 0.7620        |
| 0.0233        | 5.18  | 2000 | 0.0210          | 0.7816        |
| 0.0233        | 5.7   | 2200 | 0.0220          | 0.7761        |
| 0.0167        | 6.22  | 2400 | 0.0209          | 0.7644        |
| 0.0167        | 6.74  | 2600 | 0.0211          | 0.7677        |
| 0.0167        | 7.25  | 2800 | 0.0232          | 0.7701        |


### Framework versions

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