
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# xlm-roberta-base_original_kin-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: 0.0372
- Spearman Corr: 0.7228

## 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  | 0.0438          | 0.6734        |
| 0.0472        | 3.19  | 400  | 0.0432          | 0.7134        |
| 0.0246        | 4.78  | 600  | 0.0376          | 0.7083        |
| 0.0185        | 6.37  | 800  | 0.0347          | 0.7099        |
| 0.0143        | 7.97  | 1000 | 0.0435          | 0.7061        |
| 0.0143        | 9.56  | 1200 | 0.0379          | 0.7193        |
| 0.0111        | 11.16 | 1400 | 0.0392          | 0.7231        |
| 0.0093        | 12.75 | 1600 | 0.0388          | 0.7170        |
| 0.0078        | 14.34 | 1800 | 0.0403          | 0.7242        |
| 0.0067        | 15.94 | 2000 | 0.0383          | 0.7229        |
| 0.0067        | 17.53 | 2200 | 0.0395          | 0.7170        |
| 0.0059        | 19.12 | 2400 | 0.0377          | 0.7133        |
| 0.005         | 20.72 | 2600 | 0.0359          | 0.7181        |
| 0.0047        | 22.31 | 2800 | 0.0354          | 0.7211        |
| 0.0045        | 23.9  | 3000 | 0.0361          | 0.7161        |
| 0.0045        | 25.5  | 3200 | 0.0357          | 0.7202        |
| 0.0041        | 27.09 | 3400 | 0.0372          | 0.7228        |


### 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_kin-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