---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_esp_basic_0.0001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# furina_seed42_eng_amh_esp_basic_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: 0.0216
- Spearman Corr: 0.7654

## 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        | 1.59  | 200  | 0.0271          | 0.7362        |
| 0.0397        | 3.17  | 400  | 0.0172          | 0.7582        |
| 0.0162        | 4.76  | 600  | 0.0243          | 0.7402        |
| 0.0094        | 6.35  | 800  | 0.0212          | 0.7563        |
| 0.0094        | 7.94  | 1000 | 0.0300          | 0.7421        |
| 0.0066        | 9.52  | 1200 | 0.0228          | 0.7595        |
| 0.0049        | 11.11 | 1400 | 0.0244          | 0.7605        |
| 0.0042        | 12.7  | 1600 | 0.0199          | 0.7624        |
| 0.0034        | 14.29 | 1800 | 0.0198          | 0.7566        |
| 0.0034        | 15.87 | 2000 | 0.0216          | 0.7654        |


### Framework versions

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