---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_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_kin_amh_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: 0.0204
- Spearman Corr: 0.7440

## 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        | 0.59  | 200  | 0.0262          | 0.6019        |
| No log        | 1.17  | 400  | 0.0231          | 0.6882        |
| No log        | 1.76  | 600  | 0.0287          | 0.6986        |
| 0.0478        | 2.35  | 800  | 0.0239          | 0.7144        |
| 0.0478        | 2.93  | 1000 | 0.0201          | 0.7331        |
| 0.0478        | 3.52  | 1200 | 0.0205          | 0.7360        |
| 0.0206        | 4.11  | 1400 | 0.0203          | 0.7431        |
| 0.0206        | 4.69  | 1600 | 0.0209          | 0.7377        |
| 0.0206        | 5.28  | 1800 | 0.0197          | 0.7457        |
| 0.0206        | 5.87  | 2000 | 0.0203          | 0.7442        |
| 0.0141        | 6.45  | 2200 | 0.0198          | 0.7482        |
| 0.0141        | 7.04  | 2400 | 0.0208          | 0.7452        |
| 0.0141        | 7.62  | 2600 | 0.0206          | 0.7411        |
| 0.0104        | 8.21  | 2800 | 0.0215          | 0.7371        |
| 0.0104        | 8.8   | 3000 | 0.0198          | 0.7441        |
| 0.0104        | 9.38  | 3200 | 0.0210          | 0.7422        |
| 0.0104        | 9.97  | 3400 | 0.0204          | 0.7440        |


### Framework versions

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