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# xlm-roberta-base_lr0.0001_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: 0.0382
- Spearman Corr: 0.5403

## 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: 0.0001
- 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  | 0.0446          | 0.0681        |
| 0.0622        | 2.91  | 400  | 0.0538          | nan           |
| 0.0586        | 4.36  | 600  | 0.0468          | -0.0637       |
| 0.0586        | 5.82  | 800  | 0.0450          | -0.0228       |
| 0.0578        | 7.27  | 1000 | 0.0468          | nan           |
| 0.0569        | 8.73  | 1200 | 0.0437          | 0.1100        |
| 0.0538        | 10.18 | 1400 | 0.0431          | 0.2566        |
| 0.0538        | 11.64 | 1600 | 0.0465          | nan           |
| 0.0539        | 13.09 | 1800 | 0.0447          | 0.0202        |
| 0.0558        | 14.55 | 2000 | 0.0463          | 0.1008        |
| 0.0561        | 16.0  | 2200 | 0.0456          | nan           |
| 0.0561        | 17.45 | 2400 | 0.0448          | 0.0437        |
| 0.0552        | 18.91 | 2600 | 0.0473          | 0.0297        |
| 0.0512        | 20.36 | 2800 | 0.0522          | 0.1850        |
| 0.0512        | 21.82 | 3000 | 0.0379          | 0.4856        |
| 0.0401        | 23.27 | 3200 | 0.0401          | 0.4589        |
| 0.0315        | 24.73 | 3400 | 0.0396          | 0.4645        |
| 0.0277        | 26.18 | 3600 | 0.0387          | 0.4813        |
| 0.0277        | 27.64 | 3800 | 0.0376          | 0.5494        |
| 0.0258        | 29.09 | 4000 | 0.0382          | 0.5403        |


### 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_lr0.0001_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