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# furina_seed42_eng_amh_hau

This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0234
- Spearman Corr: 0.7853

## 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        | 0.58  | 200  | 0.0332          | 0.6642        |
| No log        | 1.15  | 400  | 0.0321          | 0.7000        |
| No log        | 1.73  | 600  | 0.0304          | 0.7178        |
| 0.0498        | 2.3   | 800  | 0.0246          | 0.7358        |
| 0.0498        | 2.88  | 1000 | 0.0244          | 0.7339        |
| 0.0498        | 3.45  | 1200 | 0.0281          | 0.7525        |
| 0.022         | 4.03  | 1400 | 0.0283          | 0.7506        |
| 0.022         | 4.6   | 1600 | 0.0263          | 0.7552        |
| 0.022         | 5.18  | 1800 | 0.0317          | 0.7589        |
| 0.022         | 5.76  | 2000 | 0.0241          | 0.7686        |
| 0.0153        | 6.33  | 2200 | 0.0254          | 0.7715        |
| 0.0153        | 6.91  | 2400 | 0.0241          | 0.7676        |
| 0.0153        | 7.48  | 2600 | 0.0240          | 0.7688        |
| 0.0112        | 8.06  | 2800 | 0.0248          | 0.7743        |
| 0.0112        | 8.63  | 3000 | 0.0228          | 0.7737        |
| 0.0112        | 9.21  | 3200 | 0.0232          | 0.7753        |
| 0.0112        | 9.78  | 3400 | 0.0254          | 0.7730        |
| 0.0087        | 10.36 | 3600 | 0.0248          | 0.7744        |
| 0.0087        | 10.94 | 3800 | 0.0243          | 0.7716        |
| 0.0087        | 11.51 | 4000 | 0.0271          | 0.7755        |
| 0.0069        | 12.09 | 4200 | 0.0269          | 0.7833        |
| 0.0069        | 12.66 | 4400 | 0.0214          | 0.7826        |
| 0.0069        | 13.24 | 4600 | 0.0245          | 0.7811        |
| 0.0069        | 13.81 | 4800 | 0.0238          | 0.7845        |
| 0.0059        | 14.39 | 5000 | 0.0275          | 0.7861        |
| 0.0059        | 14.96 | 5200 | 0.0266          | 0.7860        |
| 0.0059        | 15.54 | 5400 | 0.0259          | 0.7865        |
| 0.005         | 16.12 | 5600 | 0.0253          | 0.7838        |
| 0.005         | 16.69 | 5800 | 0.0244          | 0.7864        |
| 0.005         | 17.27 | 6000 | 0.0234          | 0.7853        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "base_model": "yihongLiu/furina", "model-index": [{"name": "furina_seed42_eng_amh_hau", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us