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# xlmroberta_clir_seed12_cross_translation_augmentation_0.1val

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: 0.0213
- Spearman Corr: 0.7695

## 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: 12
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| No log        | 0.54  | 200  | 0.0414          | 0.5959        |
| No log        | 1.08  | 400  | 0.0290          | 0.6668        |
| No log        | 1.62  | 600  | 0.0296          | 0.6789        |
| 0.0482        | 2.15  | 800  | 0.0270          | 0.6991        |
| 0.0482        | 2.69  | 1000 | 0.0254          | 0.7192        |
| 0.0482        | 3.23  | 1200 | 0.0273          | 0.7202        |
| 0.0482        | 3.77  | 1400 | 0.0248          | 0.7340        |
| 0.0237        | 4.31  | 1600 | 0.0239          | 0.7367        |
| 0.0237        | 4.85  | 1800 | 0.0235          | 0.7400        |
| 0.0237        | 5.38  | 2000 | 0.0237          | 0.7417        |
| 0.0237        | 5.92  | 2200 | 0.0231          | 0.7474        |
| 0.0173        | 6.46  | 2400 | 0.0228          | 0.7547        |
| 0.0173        | 7.0   | 2600 | 0.0220          | 0.7609        |
| 0.0173        | 7.54  | 2800 | 0.0218          | 0.7634        |
| 0.0135        | 8.08  | 3000 | 0.0216          | 0.7640        |
| 0.0135        | 8.61  | 3200 | 0.0217          | 0.7654        |
| 0.0135        | 9.15  | 3400 | 0.0213          | 0.7692        |
| 0.0135        | 9.69  | 3600 | 0.0213          | 0.7695        |


### 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": "xlmroberta_clir_seed12_cross_translation_augmentation_0.1val", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us