---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_cross_5e-06
  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_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: 0.0212
- Spearman Corr: 0.7804

## 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        | 0.52  | 200  | 0.0431          | 0.2948        |
| No log        | 1.04  | 400  | 0.0295          | 0.6292        |
| No log        | 1.55  | 600  | 0.0256          | 0.6932        |
| 0.0687        | 2.07  | 800  | 0.0237          | 0.7162        |
| 0.0687        | 2.59  | 1000 | 0.0237          | 0.7313        |
| 0.0687        | 3.11  | 1200 | 0.0231          | 0.7308        |
| 0.0687        | 3.63  | 1400 | 0.0222          | 0.7511        |
| 0.0309        | 4.15  | 1600 | 0.0218          | 0.7502        |
| 0.0309        | 4.66  | 1800 | 0.0218          | 0.7596        |
| 0.0309        | 5.18  | 2000 | 0.0210          | 0.7642        |
| 0.0309        | 5.7   | 2200 | 0.0203          | 0.7723        |
| 0.0268        | 6.22  | 2400 | 0.0207          | 0.7731        |
| 0.0268        | 6.74  | 2600 | 0.0203          | 0.7709        |
| 0.0268        | 7.25  | 2800 | 0.0211          | 0.7667        |
| 0.0268        | 7.77  | 3000 | 0.0231          | 0.7691        |
| 0.0236        | 8.29  | 3200 | 0.0225          | 0.7750        |
| 0.0236        | 8.81  | 3400 | 0.0216          | 0.7777        |
| 0.0236        | 9.33  | 3600 | 0.0222          | 0.7725        |
| 0.0236        | 9.84  | 3800 | 0.0212          | 0.7804        |


### Framework versions

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