---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_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_esp_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: 0.0289
- Spearman Corr: 0.7269

## 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        | 0.48  | 200  | 0.0306          | 0.6165        |
| No log        | 0.97  | 400  | 0.0263          | 0.6623        |
| No log        | 1.45  | 600  | 0.0307          | 0.6935        |
| No log        | 1.94  | 800  | 0.0287          | 0.7094        |
| 0.0446        | 2.42  | 1000 | 0.0269          | 0.7233        |
| 0.0446        | 2.91  | 1200 | 0.0351          | 0.7175        |
| 0.0446        | 3.39  | 1400 | 0.0287          | 0.7112        |
| 0.0446        | 3.88  | 1600 | 0.0261          | 0.7220        |
| 0.0213        | 4.36  | 1800 | 0.0281          | 0.7304        |
| 0.0213        | 4.85  | 2000 | 0.0281          | 0.7228        |
| 0.0213        | 5.33  | 2200 | 0.0304          | 0.7174        |
| 0.0213        | 5.82  | 2400 | 0.0276          | 0.7207        |
| 0.0148        | 6.3   | 2600 | 0.0260          | 0.7328        |
| 0.0148        | 6.79  | 2800 | 0.0325          | 0.7155        |
| 0.0148        | 7.27  | 3000 | 0.0304          | 0.7160        |
| 0.0148        | 7.76  | 3200 | 0.0289          | 0.7269        |


### Framework versions

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