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# xlm-roberta-base_arq_loss_5e-06

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: 0.0259
- Spearman Corr: 0.7507

## 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        | 0.92  | 200  | 0.0264          | 0.7457        |
| No log        | 1.84  | 400  | 0.0254          | 0.7502        |
| 0.0046        | 2.76  | 600  | 0.0274          | 0.7497        |
| 0.0046        | 3.69  | 800  | 0.0265          | 0.7431        |
| 0.0066        | 4.61  | 1000 | 0.0275          | 0.7546        |
| 0.0066        | 5.53  | 1200 | 0.0248          | 0.7536        |
| 0.006         | 6.45  | 1400 | 0.0258          | 0.7541        |
| 0.006         | 7.37  | 1600 | 0.0263          | 0.7476        |
| 0.0055        | 8.29  | 1800 | 0.0271          | 0.7511        |
| 0.0055        | 9.22  | 2000 | 0.0249          | 0.7551        |
| 0.0051        | 10.14 | 2200 | 0.0271          | 0.7492        |
| 0.0051        | 11.06 | 2400 | 0.0255          | 0.7484        |
| 0.0048        | 11.98 | 2600 | 0.0260          | 0.7535        |
| 0.0048        | 12.9  | 2800 | 0.0259          | 0.7507        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+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_arq_loss_5e-06", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us