
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-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: 0.0394
- Spearman Corr: nan

## 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        | 1.63  | 200  | 0.0478          | 0.0585        |
| 0.059         | 3.27  | 400  | 0.0393          | 0.0110        |
| 0.0534        | 4.9   | 600  | 0.0413          | nan           |
| 0.0524        | 6.53  | 800  | 0.0384          | nan           |
| 0.0517        | 8.16  | 1000 | 0.0424          | nan           |
| 0.0517        | 9.8   | 1200 | 0.0384          | nan           |
| 0.0509        | 11.43 | 1400 | 0.0467          | nan           |
| 0.0511        | 13.06 | 1600 | 0.0404          | nan           |
| 0.0505        | 14.69 | 1800 | 0.0392          | -0.0320       |
| 0.05          | 16.33 | 2000 | 0.0382          | -0.0245       |
| 0.05          | 17.96 | 2200 | 0.0395          | nan           |
| 0.0498        | 19.59 | 2400 | 0.0389          | -0.0672       |
| 0.0498        | 21.22 | 2600 | 0.0384          | -0.0760       |
| 0.05          | 22.86 | 2800 | 0.0399          | nan           |
| 0.0492        | 24.49 | 3000 | 0.0387          | nan           |
| 0.0493        | 26.12 | 3200 | 0.0385          | nan           |
| 0.0493        | 27.76 | 3400 | 0.0392          | nan           |
| 0.0491        | 29.39 | 3600 | 0.0394          | nan           |


### 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-kin-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