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# xlm-roberta-base_lr2e-05_seed42_basic_original_amh-esp-eng_train

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: 0.0235
- Spearman Corr: 0.7664

## 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  | 0.0206          | 0.7629        |
| 0.0425        | 3.17  | 400  | 0.0185          | 0.7601        |
| 0.0204        | 4.76  | 600  | 0.0195          | 0.7689        |
| 0.015         | 6.35  | 800  | 0.0218          | 0.7620        |
| 0.015         | 7.94  | 1000 | 0.0227          | 0.7695        |
| 0.0114        | 9.52  | 1200 | 0.0244          | 0.7631        |
| 0.0091        | 11.11 | 1400 | 0.0294          | 0.7575        |
| 0.0071        | 12.7  | 1600 | 0.0248          | 0.7604        |
| 0.0059        | 14.29 | 1800 | 0.0231          | 0.7641        |
| 0.0059        | 15.87 | 2000 | 0.0260          | 0.7697        |
| 0.005         | 17.46 | 2200 | 0.0233          | 0.7689        |
| 0.0042        | 19.05 | 2400 | 0.0235          | 0.7664        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+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_lr2e-05_seed42_basic_original_amh-esp-eng_train", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us