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# roberta-base-finetuned-stationary-temporal-tags

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0128
- Accuracy: 0.7439
- F1: 0.7382

## 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: 64
- eval_batch_size: 64
- 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6087        | 1.0   | 36   | 0.5982          | 0.6367   | 0.6351 |
| 0.491         | 2.0   | 72   | 0.4945          | 0.7612   | 0.7638 |
| 0.3862        | 3.0   | 108  | 0.4793          | 0.7785   | 0.7807 |
| 0.3           | 4.0   | 144  | 0.5702          | 0.7578   | 0.7572 |
| 0.2155        | 5.0   | 180  | 0.7004          | 0.7647   | 0.7636 |
| 0.1604        | 6.0   | 216  | 0.7589          | 0.7612   | 0.7562 |
| 0.1274        | 7.0   | 252  | 0.7798          | 0.7509   | 0.7497 |
| 0.0936        | 8.0   | 288  | 1.0196          | 0.7543   | 0.7425 |
| 0.0662        | 9.0   | 324  | 0.9769          | 0.7405   | 0.7359 |
| 0.0661        | 10.0  | 360  | 1.0128          | 0.7439   | 0.7382 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-finetuned-stationary-temporal-tags", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us