---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_pan_loss_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_pan_loss_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: 0.0215
- Spearman Corr: 0.7688

## 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        | 0.85  | 200  | 0.0213          | 0.7680        |
| No log        | 1.69  | 400  | 0.0213          | 0.7726        |
| 0.0011        | 2.54  | 600  | 0.0213          | 0.7669        |
| 0.0011        | 3.38  | 800  | 0.0221          | 0.7654        |
| 0.0008        | 4.23  | 1000 | 0.0221          | 0.7698        |
| 0.0008        | 5.07  | 1200 | 0.0227          | 0.7682        |
| 0.0008        | 5.92  | 1400 | 0.0211          | 0.7688        |
| 0.0009        | 6.77  | 1600 | 0.0210          | 0.7699        |
| 0.0009        | 7.61  | 1800 | 0.0212          | 0.7687        |
| 0.002         | 8.46  | 2000 | 0.0213          | 0.7700        |
| 0.002         | 9.3   | 2200 | 0.0216          | 0.7675        |
| 0.0019        | 10.15 | 2400 | 0.0215          | 0.7692        |
| 0.0019        | 10.99 | 2600 | 0.0215          | 0.7695        |
| 0.0019        | 11.84 | 2800 | 0.0212          | 0.7699        |
| 0.0019        | 12.68 | 3000 | 0.0214          | 0.7691        |
| 0.0019        | 13.53 | 3200 | 0.0215          | 0.7688        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2