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# N_roberta_imdb_padding60model

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: 0.4811
- Accuracy: 0.9500

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2157        | 1.0   | 1563  | 0.2020          | 0.9366   |
| 0.1716        | 2.0   | 3126  | 0.1757          | 0.9467   |
| 0.1135        | 3.0   | 4689  | 0.2601          | 0.9442   |
| 0.0834        | 4.0   | 6252  | 0.2498          | 0.9485   |
| 0.0533        | 5.0   | 7815  | 0.3480          | 0.9452   |
| 0.0441        | 6.0   | 9378  | 0.3548          | 0.9371   |
| 0.0319        | 7.0   | 10941 | 0.3257          | 0.9474   |
| 0.0264        | 8.0   | 12504 | 0.3932          | 0.9457   |
| 0.0239        | 9.0   | 14067 | 0.3367          | 0.9469   |
| 0.0185        | 10.0  | 15630 | 0.4500          | 0.94     |
| 0.018         | 11.0  | 17193 | 0.3871          | 0.9470   |
| 0.0153        | 12.0  | 18756 | 0.4206          | 0.9456   |
| 0.0101        | 13.0  | 20319 | 0.4027          | 0.9492   |
| 0.005         | 14.0  | 21882 | 0.4701          | 0.9477   |
| 0.0051        | 15.0  | 23445 | 0.4454          | 0.9484   |
| 0.0013        | 16.0  | 25008 | 0.5015          | 0.9493   |
| 0.007         | 17.0  | 26571 | 0.5011          | 0.9476   |
| 0.0022        | 18.0  | 28134 | 0.4798          | 0.95     |
| 0.0047        | 19.0  | 29697 | 0.4794          | 0.9498   |
| 0.0014        | 20.0  | 31260 | 0.4811          | 0.9500   |


### 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_padding60model", "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": 0.95004, "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