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# furina_amh-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: 0.0226
- Spearman Corr: 0.7821

## 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        | 0.52  | 200  | 0.0295          | 0.6348        |
| No log        | 1.04  | 400  | 0.0254          | 0.7092        |
| No log        | 1.55  | 600  | 0.0228          | 0.7455        |
| 0.0461        | 2.07  | 800  | 0.0214          | 0.7601        |
| 0.0461        | 2.59  | 1000 | 0.0205          | 0.7624        |
| 0.0461        | 3.11  | 1200 | 0.0234          | 0.7635        |
| 0.0461        | 3.63  | 1400 | 0.0218          | 0.7715        |
| 0.0225        | 4.15  | 1600 | 0.0209          | 0.7736        |
| 0.0225        | 4.66  | 1800 | 0.0223          | 0.7717        |
| 0.0225        | 5.18  | 2000 | 0.0226          | 0.7796        |
| 0.0225        | 5.7   | 2200 | 0.0214          | 0.7823        |
| 0.0162        | 6.22  | 2400 | 0.0216          | 0.7713        |
| 0.0162        | 6.74  | 2600 | 0.0222          | 0.7840        |
| 0.0162        | 7.25  | 2800 | 0.0204          | 0.7967        |
| 0.0162        | 7.77  | 3000 | 0.0204          | 0.7804        |
| 0.0117        | 8.29  | 3200 | 0.0207          | 0.7872        |
| 0.0117        | 8.81  | 3400 | 0.0201          | 0.7932        |
| 0.0117        | 9.33  | 3600 | 0.0230          | 0.7891        |
| 0.0117        | 9.84  | 3800 | 0.0213          | 0.7848        |
| 0.0091        | 10.36 | 4000 | 0.0209          | 0.7864        |
| 0.0091        | 10.88 | 4200 | 0.0201          | 0.7855        |
| 0.0091        | 11.4  | 4400 | 0.0226          | 0.7821        |


### 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_amh-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