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# N_roberta_imdb_padding80model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5564
- Accuracy: 0.9511

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2029        | 1.0   | 1563  | 0.2612          | 0.9242   |
| 0.1698        | 2.0   | 3126  | 0.1708          | 0.9496   |
| 0.1184        | 3.0   | 4689  | 0.2432          | 0.945    |
| 0.0767        | 4.0   | 6252  | 0.2460          | 0.9470   |
| 0.0527        | 5.0   | 7815  | 0.3357          | 0.9428   |
| 0.0398        | 6.0   | 9378  | 0.3318          | 0.9466   |
| 0.0248        | 7.0   | 10941 | 0.3870          | 0.9424   |
| 0.0236        | 8.0   | 12504 | 0.3998          | 0.9472   |
| 0.0214        | 9.0   | 14067 | 0.4392          | 0.9463   |
| 0.0171        | 10.0  | 15630 | 0.3822          | 0.9468   |
| 0.0167        | 11.0  | 17193 | 0.4762          | 0.9478   |
| 0.0078        | 12.0  | 18756 | 0.4300          | 0.948    |
| 0.0084        | 13.0  | 20319 | 0.5198          | 0.9473   |
| 0.003         | 14.0  | 21882 | 0.5064          | 0.9473   |
| 0.0079        | 15.0  | 23445 | 0.4918          | 0.9489   |
| 0.0036        | 16.0  | 25008 | 0.5179          | 0.9496   |
| 0.0008        | 17.0  | 26571 | 0.5576          | 0.9502   |
| 0.002         | 18.0  | 28134 | 0.5636          | 0.9500   |
| 0.003         | 19.0  | 29697 | 0.5534          | 0.9511   |
| 0.0015        | 20.0  | 31260 | 0.5564          | 0.9511   |


### 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": ["imdb"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "N_roberta_imdb_padding80model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "imdb", "type": "imdb", "config": "plain_text", "split": "test", "args": "plain_text"}, "metrics": [{"type": "accuracy", "value": 0.95108, "name": "Accuracy"}]}]}]}
transformers pytorch roberta text-classification generated_from_trainer dataset:imdb base_model:roberta-base license:mit model-index autotrain_compatible endpoints_compatible region:us