
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# furina_esp-kin-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: 0.0372
- Spearman Corr: 0.7024

## 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        | 0.54  | 200  | 0.0322          | 0.5724        |
| No log        | 1.09  | 400  | 0.0475          | 0.6400        |
| No log        | 1.63  | 600  | 0.0262          | 0.6581        |
| 0.0445        | 2.18  | 800  | 0.0427          | 0.6875        |
| 0.0445        | 2.72  | 1000 | 0.0264          | 0.6885        |
| 0.0445        | 3.27  | 1200 | 0.0290          | 0.6908        |
| 0.0445        | 3.81  | 1400 | 0.0257          | 0.7091        |
| 0.0191        | 4.35  | 1600 | 0.0343          | 0.7071        |
| 0.0191        | 4.9   | 1800 | 0.0313          | 0.7137        |
| 0.0191        | 5.44  | 2000 | 0.0344          | 0.7065        |
| 0.0191        | 5.99  | 2200 | 0.0255          | 0.7032        |
| 0.0129        | 6.53  | 2400 | 0.0385          | 0.7053        |
| 0.0129        | 7.07  | 2600 | 0.0362          | 0.7024        |
| 0.0129        | 7.62  | 2800 | 0.0289          | 0.7057        |
| 0.009         | 8.16  | 3000 | 0.0327          | 0.7032        |
| 0.009         | 8.71  | 3200 | 0.0331          | 0.6896        |
| 0.009         | 9.25  | 3400 | 0.0372          | 0.7024        |


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