---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_basic_5e-06
  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_basic_5e-06

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: 0.0229
- Spearman Corr: 0.7406

## 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: 5e-06
- 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        | 1.75  | 200  | 0.0718          | 0.0554        |
| 0.1419        | 3.51  | 400  | 0.0366          | 0.4543        |
| 0.0605        | 5.26  | 600  | 0.0293          | 0.6111        |
| 0.0327        | 7.02  | 800  | 0.0270          | 0.6638        |
| 0.0263        | 8.77  | 1000 | 0.0265          | 0.6874        |
| 0.0228        | 10.53 | 1200 | 0.0254          | 0.6896        |
| 0.0204        | 12.28 | 1400 | 0.0240          | 0.7026        |
| 0.0188        | 14.04 | 1600 | 0.0228          | 0.7227        |
| 0.0188        | 15.79 | 1800 | 0.0248          | 0.7165        |
| 0.0176        | 17.54 | 2000 | 0.0249          | 0.7234        |
| 0.0169        | 19.3  | 2200 | 0.0231          | 0.7327        |
| 0.0163        | 21.05 | 2400 | 0.0228          | 0.7329        |
| 0.0153        | 22.81 | 2600 | 0.0227          | 0.7384        |
| 0.0146        | 24.56 | 2800 | 0.0227          | 0.7387        |
| 0.0144        | 26.32 | 3000 | 0.0233          | 0.7432        |
| 0.0139        | 28.07 | 3200 | 0.0229          | 0.7406        |


### Framework versions

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