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# xlm-roberta-base_original_amh-hau-eng_train_spearman_corr

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: 0.0273
- Spearman Corr: 0.7649

## 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        | 1.55  | 200  | 0.0283          | 0.7717        |
| 0.0468        | 3.1   | 400  | 0.0220          | 0.7775        |
| 0.0222        | 4.65  | 600  | 0.0264          | 0.7838        |
| 0.0166        | 6.2   | 800  | 0.0260          | 0.7906        |
| 0.0166        | 7.75  | 1000 | 0.0233          | 0.7838        |
| 0.0127        | 9.3   | 1200 | 0.0261          | 0.7698        |
| 0.0103        | 10.85 | 1400 | 0.0285          | 0.7681        |
| 0.0087        | 12.4  | 1600 | 0.0265          | 0.7678        |
| 0.007         | 13.95 | 1800 | 0.0254          | 0.7660        |
| 0.007         | 15.5  | 2000 | 0.0283          | 0.7641        |
| 0.0061        | 17.05 | 2200 | 0.0278          | 0.7655        |
| 0.0055        | 18.6  | 2400 | 0.0273          | 0.7649        |


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