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# xlm-roberta-base_lr2e-05_seed42_kin-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: 0.0331
- Spearman Corr: 0.7183

## 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        | 0.53  | 200  | 0.0364          | 0.6339        |
| No log        | 1.06  | 400  | 0.0340          | 0.6718        |
| No log        | 1.6   | 600  | 0.0367          | 0.6837        |
| 0.0447        | 2.13  | 800  | 0.0312          | 0.7064        |
| 0.0447        | 2.66  | 1000 | 0.0293          | 0.7020        |
| 0.0447        | 3.19  | 1200 | 0.0398          | 0.7087        |
| 0.0447        | 3.72  | 1400 | 0.0312          | 0.7170        |
| 0.0251        | 4.26  | 1600 | 0.0287          | 0.7158        |
| 0.0251        | 4.79  | 1800 | 0.0287          | 0.7229        |
| 0.0251        | 5.32  | 2000 | 0.0279          | 0.7188        |
| 0.0251        | 5.85  | 2200 | 0.0276          | 0.7344        |
| 0.0185        | 6.38  | 2400 | 0.0298          | 0.7113        |
| 0.0185        | 6.91  | 2600 | 0.0315          | 0.7302        |
| 0.0185        | 7.45  | 2800 | 0.0296          | 0.7316        |
| 0.0185        | 7.98  | 3000 | 0.0306          | 0.7387        |
| 0.014         | 8.51  | 3200 | 0.0292          | 0.7288        |
| 0.014         | 9.04  | 3400 | 0.0333          | 0.7240        |
| 0.014         | 9.57  | 3600 | 0.0317          | 0.7348        |
| 0.0105        | 10.11 | 3800 | 0.0316          | 0.7367        |
| 0.0105        | 10.64 | 4000 | 0.0300          | 0.7229        |
| 0.0105        | 11.17 | 4200 | 0.0331          | 0.7183        |


### 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_lr2e-05_seed42_kin-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