---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_hau_basic
  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_esp_hau_basic

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: 0.0227
- Spearman Corr: 0.7567

## 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        | 1.61  | 200  | 0.0390          | 0.5403        |
| 0.0806        | 3.23  | 400  | 0.0258          | 0.7313        |
| 0.0295        | 4.84  | 600  | 0.0231          | 0.7463        |
| 0.022         | 6.45  | 800  | 0.0216          | 0.7582        |
| 0.017         | 8.06  | 1000 | 0.0241          | 0.7626        |
| 0.017         | 9.68  | 1200 | 0.0214          | 0.7723        |
| 0.0142        | 11.29 | 1400 | 0.0212          | 0.7660        |
| 0.0113        | 12.9  | 1600 | 0.0221          | 0.7655        |
| 0.0096        | 14.52 | 1800 | 0.0214          | 0.7690        |
| 0.0083        | 16.13 | 2000 | 0.0222          | 0.7595        |
| 0.0083        | 17.74 | 2200 | 0.0218          | 0.7649        |
| 0.0073        | 19.35 | 2400 | 0.0221          | 0.7600        |
| 0.0065        | 20.97 | 2600 | 0.0225          | 0.7606        |
| 0.0059        | 22.58 | 2800 | 0.0222          | 0.7574        |
| 0.0055        | 24.19 | 3000 | 0.0227          | 0.7567        |


### Framework versions

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