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# furina_seed42_eng_kin_amh_basic_0.0001

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: 0.0286
- Spearman Corr: 0.7423

## 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: 0.0001
- 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  | 0.0352          | 0.5952        |
| 0.0595        | 3.51  | 400  | 0.0331          | 0.6921        |
| 0.0223        | 5.26  | 600  | 0.0303          | 0.7036        |
| 0.013         | 7.02  | 800  | 0.0320          | 0.7059        |
| 0.0094        | 8.77  | 1000 | 0.0320          | 0.7261        |
| 0.0067        | 10.53 | 1200 | 0.0331          | 0.7353        |
| 0.005         | 12.28 | 1400 | 0.0293          | 0.7446        |
| 0.0042        | 14.04 | 1600 | 0.0251          | 0.7440        |
| 0.0042        | 15.79 | 1800 | 0.0284          | 0.7340        |
| 0.0036        | 17.54 | 2000 | 0.0306          | 0.7380        |
| 0.0033        | 19.3  | 2200 | 0.0267          | 0.7394        |
| 0.0029        | 21.05 | 2400 | 0.0269          | 0.7404        |
| 0.0026        | 22.81 | 2600 | 0.0279          | 0.7402        |
| 0.0024        | 24.56 | 2800 | 0.0278          | 0.7418        |
| 0.0022        | 26.32 | 3000 | 0.0288          | 0.7384        |
| 0.002         | 28.07 | 3200 | 0.0286          | 0.7423        |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "yihongLiu/furina", "model-index": [{"name": "furina_seed42_eng_kin_amh_basic_0.0001", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us