---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_esp_cross_2e-05
  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_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: 0.0188
- Spearman Corr: 0.7538

## 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        | 0.53  | 200  | 0.0279          | 0.6644        |
| No log        | 1.06  | 400  | 0.0165          | 0.7300        |
| No log        | 1.59  | 600  | 0.0170          | 0.7252        |
| 0.0434        | 2.12  | 800  | 0.0157          | 0.7411        |
| 0.0434        | 2.65  | 1000 | 0.0160          | 0.7515        |
| 0.0434        | 3.17  | 1200 | 0.0162          | 0.7554        |
| 0.0434        | 3.7   | 1400 | 0.0160          | 0.7602        |
| 0.019         | 4.23  | 1600 | 0.0170          | 0.7490        |
| 0.019         | 4.76  | 1800 | 0.0169          | 0.7468        |
| 0.019         | 5.29  | 2000 | 0.0165          | 0.7473        |
| 0.019         | 5.82  | 2200 | 0.0181          | 0.7492        |
| 0.0138        | 6.35  | 2400 | 0.0188          | 0.7538        |


### Framework versions

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