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# furina_amh-esp-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: 0.0213
- Spearman Corr: 0.7397

## 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        | 0.53  | 200  | 0.0182          | 0.6779        |
| No log        | 1.06  | 400  | 0.0216          | 0.7273        |
| No log        | 1.59  | 600  | 0.0166          | 0.7403        |
| 0.042         | 2.12  | 800  | 0.0204          | 0.7372        |
| 0.042         | 2.65  | 1000 | 0.0175          | 0.7408        |
| 0.042         | 3.17  | 1200 | 0.0187          | 0.7401        |
| 0.042         | 3.7   | 1400 | 0.0181          | 0.7500        |
| 0.0186        | 4.23  | 1600 | 0.0172          | 0.7380        |
| 0.0186        | 4.76  | 1800 | 0.0191          | 0.7390        |
| 0.0186        | 5.29  | 2000 | 0.0203          | 0.7464        |
| 0.0186        | 5.82  | 2200 | 0.0177          | 0.7434        |
| 0.0133        | 6.35  | 2400 | 0.0193          | 0.7386        |
| 0.0133        | 6.88  | 2600 | 0.0225          | 0.7388        |
| 0.0133        | 7.41  | 2800 | 0.0179          | 0.7380        |
| 0.0133        | 7.94  | 3000 | 0.0213          | 0.7397        |


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