---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_basic
  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_kin_amh_basic

This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0154
- Spearman Corr: 0.8112

## 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        | 1.95  | 200  | 0.0239          | 0.7162        |
| 0.0881        | 3.9   | 400  | 0.0177          | 0.7990        |
| 0.0228        | 5.85  | 600  | 0.0167          | 0.8089        |
| 0.0168        | 7.8   | 800  | 0.0153          | 0.8124        |
| 0.0127        | 9.76  | 1000 | 0.0168          | 0.8121        |
| 0.0102        | 11.71 | 1200 | 0.0157          | 0.8114        |
| 0.0085        | 13.66 | 1400 | 0.0154          | 0.8122        |
| 0.0073        | 15.61 | 1600 | 0.0156          | 0.8132        |
| 0.0068        | 17.56 | 1800 | 0.0152          | 0.8097        |
| 0.0061        | 19.51 | 2000 | 0.0158          | 0.8094        |
| 0.0055        | 21.46 | 2200 | 0.0155          | 0.8098        |
| 0.005         | 23.41 | 2400 | 0.0152          | 0.8113        |
| 0.005         | 25.37 | 2600 | 0.0152          | 0.8099        |
| 0.0046        | 27.32 | 2800 | 0.0153          | 0.8113        |
| 0.0044        | 29.27 | 3000 | 0.0154          | 0.8112        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1