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# xlm-roberta-base_seed42_kin-amh-eng_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: 0.0238
- Spearman Corr: 0.7304

## 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        | 0.65  | 200  | 0.0317          | 0.6509        |
| No log        | 1.3   | 400  | 0.0274          | 0.6622        |
| No log        | 1.95  | 600  | 0.0229          | 0.7053        |
| 0.0349        | 2.61  | 800  | 0.0231          | 0.7102        |
| 0.0349        | 3.26  | 1000 | 0.0322          | 0.7146        |
| 0.0349        | 3.91  | 1200 | 0.0238          | 0.7314        |
| 0.023         | 4.56  | 1400 | 0.0239          | 0.7306        |
| 0.023         | 5.21  | 1600 | 0.0222          | 0.7266        |
| 0.023         | 5.86  | 1800 | 0.0243          | 0.7333        |
| 0.0171        | 6.51  | 2000 | 0.0221          | 0.7301        |
| 0.0171        | 7.17  | 2200 | 0.0267          | 0.7340        |
| 0.0171        | 7.82  | 2400 | 0.0235          | 0.7323        |
| 0.013         | 8.47  | 2600 | 0.0259          | 0.7300        |
| 0.013         | 9.12  | 2800 | 0.0230          | 0.7273        |
| 0.013         | 9.77  | 3000 | 0.0250          | 0.7354        |
| 0.0099        | 10.42 | 3200 | 0.0238          | 0.7304        |


### 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_kin-amh-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