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# dnrti_our

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0737
- Precision: 0.7870
- Recall: 0.7880
- F1: 0.7875
- Accuracy: 0.9836

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.13          | 1.42  | 500  | 0.0886          | 0.7138    | 0.7548 | 0.7337 | 0.9796   |
| 0.0421        | 2.84  | 1000 | 0.0737          | 0.7870    | 0.7880 | 0.7875 | 0.9836   |
| 0.0249        | 4.26  | 1500 | 0.0855          | 0.7655    | 0.7714 | 0.7684 | 0.9822   |
| 0.0167        | 5.68  | 2000 | 0.0946          | 0.7554    | 0.8008 | 0.7774 | 0.9826   |
| 0.0104        | 7.1   | 2500 | 0.0976          | 0.7540    | 0.7829 | 0.7682 | 0.9820   |
| 0.0066        | 8.52  | 3000 | 0.1024          | 0.7742    | 0.8059 | 0.7897 | 0.9836   |
| 0.0044        | 9.94  | 3500 | 0.1069          | 0.7764    | 0.7982 | 0.7872 | 0.9833   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "roberta-base", "model-index": [{"name": "dnrti_our", "results": []}]}
transformers tensorboard safetensors roberta token-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us