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# SOMD-train-xlm-v2

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: 0.0000
- F1: 1.0

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 1243  | 0.0067          | 0.6281 |
| No log        | 2.0   | 2486  | 0.0034          | 0.7847 |
| No log        | 3.0   | 3729  | 0.0031          | 0.7984 |
| No log        | 4.0   | 4972  | 0.0015          | 0.8925 |
| No log        | 5.0   | 6215  | 0.0010          | 0.9170 |
| No log        | 6.0   | 7458  | 0.0009          | 0.9312 |
| No log        | 7.0   | 8701  | 0.0006          | 0.9476 |
| No log        | 8.0   | 9944  | 0.0008          | 0.9508 |
| No log        | 9.0   | 11187 | 0.0004          | 0.9829 |
| No log        | 10.0  | 12430 | 0.0001          | 0.9915 |
| No log        | 11.0  | 13673 | 0.0002          | 0.9894 |
| No log        | 12.0  | 14916 | 0.0001          | 0.9940 |
| No log        | 13.0  | 16159 | 0.0000          | 0.9978 |
| No log        | 14.0  | 17402 | 0.0000          | 0.9978 |
| No log        | 15.0  | 18645 | 0.0000          | 0.9991 |
| No log        | 16.0  | 19888 | 0.0000          | 0.9974 |
| No log        | 17.0  | 21131 | 0.0000          | 0.9995 |
| No log        | 18.0  | 22374 | 0.0000          | 0.9997 |
| No log        | 19.0  | 23617 | 0.0000          | 1.0    |
| No log        | 20.0  | 24860 | 0.0000          | 1.0    |


### 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-v2", "results": []}]}
transformers tensorboard safetensors xlm-roberta token-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us