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# xlm-roberta-base_lr0.0001_seed42_basic_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: nan

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| 0.0684        | 2.33  | 200  | 0.0235          | -0.1233       |
| 0.0564        | 4.65  | 400  | 0.0243          | nan           |
| 0.0545        | 6.98  | 600  | 0.0271          | 0.1235        |
| 0.0539        | 9.3   | 800  | 0.0234          | nan           |
| 0.0532        | 11.63 | 1000 | 0.0243          | -0.0724       |
| 0.0533        | 13.95 | 1200 | 0.0233          | 0.0967        |
| 0.0519        | 16.28 | 1400 | 0.0244          | 0.0055        |
| 0.0519        | 18.6  | 1600 | 0.0243          | 0.0838        |
| 0.0515        | 20.93 | 1800 | 0.0233          | nan           |
| 0.0516        | 23.26 | 2000 | 0.0253          | nan           |
| 0.0511        | 25.58 | 2200 | 0.0245          | -0.0083       |
| 0.0503        | 27.91 | 2400 | 0.0235          | nan           |


### 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_lr0.0001_seed42_basic_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