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# furina_amh_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: 0.0210
- Spearman Corr: 0.7684

## 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        | 0.9   | 200  | 0.0210          | 0.7728        |
| No log        | 1.81  | 400  | 0.0217          | 0.7612        |
| 0.0131        | 2.71  | 600  | 0.0206          | 0.7664        |
| 0.0131        | 3.62  | 800  | 0.0211          | 0.7672        |
| 0.0116        | 4.52  | 1000 | 0.0203          | 0.7709        |
| 0.0116        | 5.43  | 1200 | 0.0211          | 0.7678        |
| 0.0107        | 6.33  | 1400 | 0.0216          | 0.7706        |
| 0.0107        | 7.24  | 1600 | 0.0211          | 0.7679        |
| 0.0099        | 8.14  | 1800 | 0.0210          | 0.7684        |


### 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_amh_corr_5e-06", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us