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# xlm-roberta-base_hau_corr_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: 0.0237
- Spearman Corr: 0.7615

## 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        | 0.95  | 200  | 0.0254          | 0.7574        |
| No log        | 1.91  | 400  | 0.0249          | 0.7595        |
| 0.0025        | 2.86  | 600  | 0.0243          | 0.7626        |
| 0.0025        | 3.82  | 800  | 0.0251          | 0.7601        |
| 0.0023        | 4.77  | 1000 | 0.0241          | 0.7589        |
| 0.0023        | 5.73  | 1200 | 0.0236          | 0.7597        |
| 0.0023        | 6.68  | 1400 | 0.0243          | 0.7610        |
| 0.0023        | 7.64  | 1600 | 0.0251          | 0.7637        |
| 0.0022        | 8.59  | 1800 | 0.0251          | 0.7599        |
| 0.0022        | 9.55  | 2000 | 0.0255          | 0.7603        |
| 0.0021        | 10.5  | 2200 | 0.0252          | 0.7606        |
| 0.0021        | 11.46 | 2400 | 0.0244          | 0.7628        |
| 0.002         | 12.41 | 2600 | 0.0257          | 0.7644        |
| 0.002         | 13.37 | 2800 | 0.0250          | 0.7610        |
| 0.002         | 14.32 | 3000 | 0.0254          | 0.7600        |
| 0.002         | 15.27 | 3200 | 0.0250          | 0.7618        |
| 0.0019        | 16.23 | 3400 | 0.0249          | 0.7617        |
| 0.0019        | 17.18 | 3600 | 0.0247          | 0.7602        |
| 0.0019        | 18.14 | 3800 | 0.0245          | 0.7624        |
| 0.0019        | 19.09 | 4000 | 0.0244          | 0.7639        |
| 0.0018        | 20.05 | 4200 | 0.0237          | 0.7615        |


### 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_hau_corr_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