---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_cross_0.0001
  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_0.0001

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: 0.0312
- Spearman Corr: 0.7298

## 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: 0.0001
- 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  | 0.0443          | 0.1783        |
| No log        | 1.04  | 400  | 0.0333          | 0.5121        |
| No log        | 1.55  | 600  | 0.0424          | 0.5339        |
| 0.0522        | 2.07  | 800  | 0.0398          | 0.5674        |
| 0.0522        | 2.59  | 1000 | 0.0328          | 0.6002        |
| 0.0522        | 3.11  | 1200 | 0.0313          | 0.6285        |
| 0.0522        | 3.63  | 1400 | 0.0292          | 0.6480        |
| 0.0361        | 4.15  | 1600 | 0.0297          | 0.6471        |
| 0.0361        | 4.66  | 1800 | 0.0298          | 0.6724        |
| 0.0361        | 5.18  | 2000 | 0.0308          | 0.7280        |
| 0.0361        | 5.7   | 2200 | 0.0262          | 0.7299        |
| 0.0258        | 6.22  | 2400 | 0.0255          | 0.7406        |
| 0.0258        | 6.74  | 2600 | 0.0284          | 0.7288        |
| 0.0258        | 7.25  | 2800 | 0.0295          | 0.7337        |
| 0.0258        | 7.77  | 3000 | 0.0300          | 0.7393        |
| 0.0164        | 8.29  | 3200 | 0.0271          | 0.7451        |
| 0.0164        | 8.81  | 3400 | 0.0319          | 0.7359        |
| 0.0164        | 9.33  | 3600 | 0.0261          | 0.7314        |
| 0.0164        | 9.84  | 3800 | 0.0290          | 0.7265        |
| 0.0105        | 10.36 | 4000 | 0.0312          | 0.7298        |


### Framework versions

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