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# xlm-roberta-base_latin_original_amh-esp-eng_train_loss

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: 0.0261
- Spearman Corr: 0.7589

## 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        | 1.59  | 200  | 0.0183          | 0.7592        |
| 0.0498        | 3.17  | 400  | 0.0179          | 0.7531        |
| 0.0213        | 4.76  | 600  | 0.0205          | 0.7603        |
| 0.0161        | 6.35  | 800  | 0.0199          | 0.7582        |
| 0.0161        | 7.94  | 1000 | 0.0209          | 0.7641        |
| 0.0127        | 9.52  | 1200 | 0.0211          | 0.7647        |
| 0.0103        | 11.11 | 1400 | 0.0258          | 0.7592        |
| 0.0082        | 12.7  | 1600 | 0.0231          | 0.7571        |
| 0.007         | 14.29 | 1800 | 0.0251          | 0.7569        |
| 0.007         | 15.87 | 2000 | 0.0261          | 0.7589        |


### 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_latin_original_amh-esp-eng_train_loss", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us