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# SOMD-train-xlm-v1

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- F1: 0.9963

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 1243  | 0.0069          | 0.6471 |
| No log        | 2.0   | 2486  | 0.0147          | 0.4535 |
| No log        | 3.0   | 3729  | 0.0030          | 0.8179 |
| No log        | 4.0   | 4972  | 0.0014          | 0.9087 |
| No log        | 5.0   | 6215  | 0.0007          | 0.9353 |
| No log        | 6.0   | 7458  | 0.0004          | 0.9664 |
| No log        | 7.0   | 8701  | 0.0002          | 0.9867 |
| No log        | 8.0   | 9944  | 0.0001          | 0.9918 |
| No log        | 9.0   | 11187 | 0.0001          | 0.9954 |
| No log        | 10.0  | 12430 | 0.0001          | 0.9963 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "SOMD-train-xlm-v1", "results": []}]}
transformers tensorboard safetensors xlm-roberta token-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us