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# xlmroberta_clir_seed12_cross_translation_augmentation_val_kin

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0644
- Spearman Corr: 0.5146

## 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        | 0.48  | 200  | 0.0437          | 0.4319        |
| No log        | 0.97  | 400  | 0.0711          | 0.5352        |
| No log        | 1.45  | 600  | 0.0480          | 0.5505        |
| No log        | 1.94  | 800  | 0.0356          | 0.5106        |
| 0.0371        | 2.42  | 1000 | 0.0444          | 0.5215        |
| 0.0371        | 2.91  | 1200 | 0.0648          | 0.5260        |
| 0.0371        | 3.39  | 1400 | 0.0694          | 0.5078        |
| 0.0371        | 3.88  | 1600 | 0.0670          | 0.5449        |
| 0.0225        | 4.36  | 1800 | 0.0580          | 0.5258        |
| 0.0225        | 4.85  | 2000 | 0.0824          | 0.4986        |
| 0.0225        | 5.33  | 2200 | 0.0644          | 0.5146        |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlmroberta_clir_seed12_cross_translation_augmentation_val_kin", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us