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# xlm-roberta-base-finetuned-marc-en

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0333
- Mae: 0.0062

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mae    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3744        | 1.0   | 2332  | 0.3325          | 0.1118 |
| 0.3577        | 2.0   | 4664  | 0.3243          | 0.0956 |
| 0.2944        | 3.0   | 6996  | 0.2496          | 0.0611 |
| 0.3084        | 4.0   | 9328  | 0.1582          | 0.0410 |
| 0.2318        | 5.0   | 11660 | 0.1304          | 0.0284 |
| 0.176         | 6.0   | 13992 | 0.0903          | 0.0185 |
| 0.1364        | 7.0   | 16324 | 0.0798          | 0.0165 |
| 0.1207        | 8.0   | 18656 | 0.0634          | 0.0128 |
| 0.1304        | 9.0   | 20988 | 0.0473          | 0.0096 |
| 0.1141        | 10.0  | 23320 | 0.0395          | 0.0086 |
| 0.0769        | 11.0  | 25652 | 0.0347          | 0.0069 |
| 0.046         | 12.0  | 27984 | 0.0333          | 0.0062 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-marc-en", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us