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# xlm-roberta-base_seed42_hau-esp_train

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0184
- Spearman Corr: 0.8353

## 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        | 0.54  | 200  | 0.0340          | 0.6757        |
| No log        | 1.08  | 400  | 0.0268          | 0.7088        |
| No log        | 1.62  | 600  | 0.0249          | 0.7236        |
| 0.0381        | 2.15  | 800  | 0.0256          | 0.7349        |
| 0.0381        | 2.69  | 1000 | 0.0366          | 0.7404        |
| 0.0381        | 3.23  | 1200 | 0.0369          | 0.7529        |
| 0.0381        | 3.77  | 1400 | 0.0257          | 0.7644        |
| 0.0227        | 4.31  | 1600 | 0.0208          | 0.7761        |
| 0.0227        | 4.85  | 1800 | 0.0238          | 0.7827        |
| 0.0227        | 5.38  | 2000 | 0.0213          | 0.7902        |
| 0.0227        | 5.92  | 2200 | 0.0214          | 0.7934        |
| 0.0153        | 6.46  | 2400 | 0.0214          | 0.8012        |
| 0.0153        | 7.0   | 2600 | 0.0212          | 0.8049        |
| 0.0153        | 7.54  | 2800 | 0.0202          | 0.8071        |
| 0.0106        | 8.08  | 3000 | 0.0226          | 0.8105        |
| 0.0106        | 8.61  | 3200 | 0.0186          | 0.8203        |
| 0.0106        | 9.15  | 3400 | 0.0194          | 0.8214        |
| 0.0106        | 9.69  | 3600 | 0.0183          | 0.8222        |
| 0.0078        | 10.23 | 3800 | 0.0176          | 0.8266        |
| 0.0078        | 10.77 | 4000 | 0.0192          | 0.8252        |
| 0.0078        | 11.31 | 4200 | 0.0190          | 0.8241        |
| 0.0078        | 11.84 | 4400 | 0.0176          | 0.8303        |
| 0.0059        | 12.38 | 4600 | 0.0192          | 0.8299        |
| 0.0059        | 12.92 | 4800 | 0.0187          | 0.8346        |
| 0.0059        | 13.46 | 5000 | 0.0184          | 0.8353        |


### 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": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base_seed42_hau-esp_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