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# furina_eng_loss_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: 0.0217
- Spearman Corr: 0.7631

## 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        | 1.33  | 200  | 0.0222          | 0.7622        |
| 0.0037        | 2.66  | 400  | 0.0226          | 0.7631        |
| 0.0048        | 3.99  | 600  | 0.0222          | 0.7633        |
| 0.0048        | 5.32  | 800  | 0.0227          | 0.7578        |
| 0.0044        | 6.64  | 1000 | 0.0218          | 0.7644        |
| 0.0041        | 7.97  | 1200 | 0.0222          | 0.7626        |
| 0.0041        | 9.3   | 1400 | 0.0219          | 0.7592        |
| 0.004         | 10.63 | 1600 | 0.0217          | 0.7639        |
| 0.0039        | 11.96 | 1800 | 0.0221          | 0.7634        |
| 0.0039        | 13.29 | 2000 | 0.0217          | 0.7579        |
| 0.0038        | 14.62 | 2200 | 0.0221          | 0.7643        |
| 0.0036        | 15.95 | 2400 | 0.0220          | 0.7617        |
| 0.0036        | 17.28 | 2600 | 0.0215          | 0.7622        |
| 0.0035        | 18.6  | 2800 | 0.0220          | 0.7630        |
| 0.0034        | 19.93 | 3000 | 0.0220          | 0.7645        |
| 0.0034        | 21.26 | 3200 | 0.0217          | 0.7634        |
| 0.0034        | 22.59 | 3400 | 0.0216          | 0.7627        |
| 0.0033        | 23.92 | 3600 | 0.0219          | 0.7642        |
| 0.0033        | 25.25 | 3800 | 0.0214          | 0.7648        |
| 0.0032        | 26.58 | 4000 | 0.0216          | 0.7648        |
| 0.0032        | 27.91 | 4200 | 0.0217          | 0.7631        |


### 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_eng_loss_5e-06", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us