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# N_roberta_agnews_padding40model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5563
- Accuracy: 0.95

## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.1981        | 1.0   | 7500   | 0.2012          | 0.9413   |
| 0.1726        | 2.0   | 15000  | 0.2037          | 0.9457   |
| 0.1511        | 3.0   | 22500  | 0.2177          | 0.9434   |
| 0.1242        | 4.0   | 30000  | 0.2438          | 0.9480   |
| 0.0986        | 5.0   | 37500  | 0.2483          | 0.9482   |
| 0.0803        | 6.0   | 45000  | 0.2855          | 0.9495   |
| 0.0733        | 7.0   | 52500  | 0.3275          | 0.9454   |
| 0.0505        | 8.0   | 60000  | 0.3980          | 0.9441   |
| 0.0404        | 9.0   | 67500  | 0.3872          | 0.9480   |
| 0.0277        | 10.0  | 75000  | 0.4156          | 0.9470   |
| 0.0261        | 11.0  | 82500  | 0.4207          | 0.9483   |
| 0.0221        | 12.0  | 90000  | 0.4508          | 0.9457   |
| 0.0224        | 13.0  | 97500  | 0.4591          | 0.9475   |
| 0.0095        | 14.0  | 105000 | 0.4958          | 0.9466   |
| 0.0085        | 15.0  | 112500 | 0.5201          | 0.9479   |
| 0.0064        | 16.0  | 120000 | 0.5334          | 0.9470   |
| 0.0065        | 17.0  | 127500 | 0.5012          | 0.9488   |
| 0.008         | 18.0  | 135000 | 0.5167          | 0.9492   |
| 0.0033        | 19.0  | 142500 | 0.5535          | 0.9493   |
| 0.0024        | 20.0  | 150000 | 0.5563          | 0.95     |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["ag_news"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "N_roberta_agnews_padding40model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "ag_news", "type": "ag_news", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.95, "name": "Accuracy"}]}]}]}
transformers pytorch roberta text-classification generated_from_trainer dataset:ag_news base_model:roberta-base license:mit model-index autotrain_compatible endpoints_compatible region:us