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# furina_original_amh-hau-eng_train_spearman_corr

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: 0.0307
- Spearman Corr: 0.7768

## 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        | 1.55  | 200  | 0.0406          | 0.6987        |
| 0.0766        | 3.1   | 400  | 0.0250          | 0.7633        |
| 0.0241        | 4.65  | 600  | 0.0292          | 0.7707        |
| 0.0174        | 6.2   | 800  | 0.0268          | 0.7797        |
| 0.0174        | 7.75  | 1000 | 0.0345          | 0.7801        |
| 0.0137        | 9.3   | 1200 | 0.0285          | 0.7790        |
| 0.0109        | 10.85 | 1400 | 0.0289          | 0.7754        |
| 0.0091        | 12.4  | 1600 | 0.0253          | 0.7798        |
| 0.0078        | 13.95 | 1800 | 0.0273          | 0.7777        |
| 0.0078        | 15.5  | 2000 | 0.0262          | 0.7698        |
| 0.007         | 17.05 | 2200 | 0.0261          | 0.7736        |
| 0.006         | 18.6  | 2400 | 0.0260          | 0.7761        |
| 0.0055        | 20.16 | 2600 | 0.0307          | 0.7768        |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "yihongLiu/furina", "model-index": [{"name": "furina_original_amh-hau-eng_train_spearman_corr", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us