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# xlm-roberta-base_original_esp-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: 0.0293
- Spearman Corr: 0.7485

## 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        | 1.45  | 200  | 0.0269          | 0.6960        |
| 0.0444        | 2.91  | 400  | 0.0266          | 0.7221        |
| 0.0247        | 4.36  | 600  | 0.0258          | 0.7535        |
| 0.0247        | 5.82  | 800  | 0.0297          | 0.7543        |
| 0.0188        | 7.27  | 1000 | 0.0263          | 0.7520        |
| 0.0144        | 8.73  | 1200 | 0.0283          | 0.7540        |
| 0.0115        | 10.18 | 1400 | 0.0289          | 0.7519        |
| 0.0115        | 11.64 | 1600 | 0.0277          | 0.7510        |
| 0.0091        | 13.09 | 1800 | 0.0258          | 0.7605        |
| 0.0078        | 14.55 | 2000 | 0.0287          | 0.7540        |
| 0.0064        | 16.0  | 2200 | 0.0278          | 0.7506        |
| 0.0064        | 17.45 | 2400 | 0.0309          | 0.7539        |
| 0.0054        | 18.91 | 2600 | 0.0287          | 0.7469        |
| 0.0049        | 20.36 | 2800 | 0.0284          | 0.7478        |
| 0.0049        | 21.82 | 3000 | 0.0286          | 0.7469        |
| 0.0045        | 23.27 | 3200 | 0.0289          | 0.7439        |
| 0.004         | 24.73 | 3400 | 0.0293          | 0.7485        |


### 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_esp-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