---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_arq_corr_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_arq_corr_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: 0.0220
- Spearman Corr: 0.7598

## 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        | 0.92  | 200  | 0.0208          | 0.7635        |
| No log        | 1.84  | 400  | 0.0223          | 0.7614        |
| 0.008         | 2.76  | 600  | 0.0224          | 0.7625        |
| 0.008         | 3.69  | 800  | 0.0219          | 0.7599        |
| 0.0074        | 4.61  | 1000 | 0.0218          | 0.7623        |
| 0.0074        | 5.53  | 1200 | 0.0216          | 0.7606        |
| 0.0068        | 6.45  | 1400 | 0.0222          | 0.7629        |
| 0.0068        | 7.37  | 1600 | 0.0220          | 0.7671        |
| 0.0063        | 8.29  | 1800 | 0.0217          | 0.7636        |
| 0.0063        | 9.22  | 2000 | 0.0222          | 0.7645        |
| 0.006         | 10.14 | 2200 | 0.0221          | 0.7604        |
| 0.006         | 11.06 | 2400 | 0.0218          | 0.7634        |
| 0.0057        | 11.98 | 2600 | 0.0224          | 0.7620        |
| 0.0057        | 12.9  | 2800 | 0.0230          | 0.7645        |
| 0.0057        | 13.82 | 3000 | 0.0224          | 0.7652        |
| 0.0054        | 14.75 | 3200 | 0.0220          | 0.7598        |


### Framework versions

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