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# furina_esp-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: 0.0304
- Spearman Corr: 0.7239

## 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        | 0.48  | 200  | 0.0285          | 0.6376        |
| No log        | 0.97  | 400  | 0.0271          | 0.6797        |
| No log        | 1.45  | 600  | 0.0309          | 0.6979        |
| No log        | 1.94  | 800  | 0.0323          | 0.7248        |
| 0.0447        | 2.42  | 1000 | 0.0257          | 0.7313        |
| 0.0447        | 2.91  | 1200 | 0.0286          | 0.7216        |
| 0.0447        | 3.39  | 1400 | 0.0297          | 0.7338        |
| 0.0447        | 3.88  | 1600 | 0.0320          | 0.7319        |
| 0.0214        | 4.36  | 1800 | 0.0239          | 0.7410        |
| 0.0214        | 4.85  | 2000 | 0.0282          | 0.7449        |
| 0.0214        | 5.33  | 2200 | 0.0267          | 0.7409        |
| 0.0214        | 5.82  | 2400 | 0.0343          | 0.7415        |
| 0.0148        | 6.3   | 2600 | 0.0252          | 0.7393        |
| 0.0148        | 6.79  | 2800 | 0.0293          | 0.7380        |
| 0.0148        | 7.27  | 3000 | 0.0291          | 0.7302        |
| 0.0148        | 7.76  | 3200 | 0.0271          | 0.7465        |
| 0.0103        | 8.24  | 3400 | 0.0287          | 0.7250        |
| 0.0103        | 8.73  | 3600 | 0.0296          | 0.7340        |
| 0.0103        | 9.21  | 3800 | 0.0281          | 0.7388        |
| 0.0103        | 9.7   | 4000 | 0.0278          | 0.7365        |
| 0.0076        | 10.18 | 4200 | 0.0347          | 0.7320        |
| 0.0076        | 10.67 | 4400 | 0.0280          | 0.7360        |
| 0.0076        | 11.15 | 4600 | 0.0266          | 0.7312        |
| 0.0076        | 11.64 | 4800 | 0.0304          | 0.7239        |


### 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_esp-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