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# xlm-roberta-base_kin-amh-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: 0.0297
- Spearman Corr: 0.7479

## 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        | 0.59  | 200  | 0.0429          | 0.6489        |
| No log        | 1.17  | 400  | 0.0316          | 0.6683        |
| No log        | 1.76  | 600  | 0.0254          | 0.6929        |
| 0.0392        | 2.35  | 800  | 0.0271          | 0.7095        |
| 0.0392        | 2.93  | 1000 | 0.0277          | 0.7171        |
| 0.0392        | 3.52  | 1200 | 0.0347          | 0.7062        |
| 0.0215        | 4.11  | 1400 | 0.0337          | 0.7350        |
| 0.0215        | 4.69  | 1600 | 0.0325          | 0.7377        |
| 0.0215        | 5.28  | 1800 | 0.0290          | 0.7384        |
| 0.0215        | 5.87  | 2000 | 0.0290          | 0.7244        |
| 0.0155        | 6.45  | 2200 | 0.0264          | 0.7494        |
| 0.0155        | 7.04  | 2400 | 0.0246          | 0.7479        |
| 0.0155        | 7.62  | 2600 | 0.0314          | 0.7349        |
| 0.0115        | 8.21  | 2800 | 0.0274          | 0.7477        |
| 0.0115        | 8.8   | 3000 | 0.0316          | 0.7362        |
| 0.0115        | 9.38  | 3200 | 0.0277          | 0.7482        |
| 0.0115        | 9.97  | 3400 | 0.0279          | 0.7447        |
| 0.0089        | 10.56 | 3600 | 0.0280          | 0.7343        |
| 0.0089        | 11.14 | 3800 | 0.0297          | 0.7479        |


### 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_kin-amh-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