---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_roman
  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_roman

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: 0.0233
- Spearman Corr: 0.7621

## 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        | 0.58  | 200  | 0.0306          | 0.6454        |
| No log        | 1.15  | 400  | 0.0353          | 0.6854        |
| No log        | 1.73  | 600  | 0.0298          | 0.7055        |
| 0.0458        | 2.3   | 800  | 0.0307          | 0.7105        |
| 0.0458        | 2.88  | 1000 | 0.0263          | 0.7299        |
| 0.0458        | 3.45  | 1200 | 0.0273          | 0.7357        |
| 0.0222        | 4.03  | 1400 | 0.0255          | 0.7374        |
| 0.0222        | 4.6   | 1600 | 0.0268          | 0.7398        |
| 0.0222        | 5.18  | 1800 | 0.0316          | 0.7371        |
| 0.0222        | 5.76  | 2000 | 0.0245          | 0.7445        |
| 0.0155        | 6.33  | 2200 | 0.0264          | 0.7484        |
| 0.0155        | 6.91  | 2400 | 0.0311          | 0.7549        |
| 0.0155        | 7.48  | 2600 | 0.0223          | 0.7585        |
| 0.0112        | 8.06  | 2800 | 0.0257          | 0.7483        |
| 0.0112        | 8.63  | 3000 | 0.0240          | 0.7507        |
| 0.0112        | 9.21  | 3200 | 0.0275          | 0.7609        |
| 0.0112        | 9.78  | 3400 | 0.0265          | 0.7565        |
| 0.0086        | 10.36 | 3600 | 0.0250          | 0.7534        |
| 0.0086        | 10.94 | 3800 | 0.0285          | 0.7577        |
| 0.0086        | 11.51 | 4000 | 0.0225          | 0.7625        |
| 0.007         | 12.09 | 4200 | 0.0233          | 0.7621        |


### Framework versions

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