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# xlm-roberta-base_lr5e-06_seed42_basic_original_esp-hau-eng_train

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0249
- Spearman Corr: 0.7503

## 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: 5e-06
- 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        | 1.45  | 200  | 0.0278          | 0.6639        |
| 0.0698        | 2.91  | 400  | 0.0240          | 0.7194        |
| 0.032         | 4.36  | 600  | 0.0239          | 0.7368        |
| 0.032         | 5.82  | 800  | 0.0266          | 0.7347        |
| 0.0263        | 7.27  | 1000 | 0.0242          | 0.7447        |
| 0.0229        | 8.73  | 1200 | 0.0239          | 0.7481        |
| 0.0209        | 10.18 | 1400 | 0.0248          | 0.7468        |
| 0.0209        | 11.64 | 1600 | 0.0251          | 0.7512        |
| 0.0192        | 13.09 | 1800 | 0.0244          | 0.7507        |
| 0.0173        | 14.55 | 2000 | 0.0256          | 0.7487        |
| 0.0163        | 16.0  | 2200 | 0.0248          | 0.7504        |
| 0.0163        | 17.45 | 2400 | 0.0269          | 0.7511        |
| 0.0151        | 18.91 | 2600 | 0.0249          | 0.7503        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base_lr5e-06_seed42_basic_original_esp-hau-eng_train", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us