---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_cross_latin_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_hau_cross_latin_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: 0.0213
- Spearman Corr: 0.7832

## 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        | 0.52  | 200  | 0.0297          | 0.6717        |
| No log        | 1.04  | 400  | 0.0242          | 0.7298        |
| No log        | 1.55  | 600  | 0.0238          | 0.7583        |
| 0.0472        | 2.07  | 800  | 0.0234          | 0.7528        |
| 0.0472        | 2.59  | 1000 | 0.0233          | 0.7682        |
| 0.0472        | 3.11  | 1200 | 0.0210          | 0.7792        |
| 0.0472        | 3.63  | 1400 | 0.0206          | 0.7805        |
| 0.0222        | 4.15  | 1600 | 0.0211          | 0.7751        |
| 0.0222        | 4.66  | 1800 | 0.0213          | 0.7796        |
| 0.0222        | 5.18  | 2000 | 0.0207          | 0.7920        |
| 0.0222        | 5.7   | 2200 | 0.0196          | 0.7933        |
| 0.0157        | 6.22  | 2400 | 0.0204          | 0.7839        |
| 0.0157        | 6.74  | 2600 | 0.0204          | 0.7848        |
| 0.0157        | 7.25  | 2800 | 0.0216          | 0.7791        |
| 0.0157        | 7.77  | 3000 | 0.0218          | 0.7844        |
| 0.0116        | 8.29  | 3200 | 0.0214          | 0.7887        |
| 0.0116        | 8.81  | 3400 | 0.0209          | 0.7908        |
| 0.0116        | 9.33  | 3600 | 0.0208          | 0.7768        |
| 0.0116        | 9.84  | 3800 | 0.0213          | 0.7832        |


### Framework versions

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