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# N_roberta_imdb_padding30model

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: 0.4323
- Accuracy: 0.9505

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2137        | 1.0   | 1563  | 0.2731          | 0.9326   |
| 0.1664        | 2.0   | 3126  | 0.1977          | 0.9475   |
| 0.1079        | 3.0   | 4689  | 0.2742          | 0.9441   |
| 0.0728        | 4.0   | 6252  | 0.2245          | 0.9474   |
| 0.0479        | 5.0   | 7815  | 0.2897          | 0.9496   |
| 0.0405        | 6.0   | 9378  | 0.3329          | 0.9473   |
| 0.0428        | 7.0   | 10941 | 0.3308          | 0.9452   |
| 0.0285        | 8.0   | 12504 | 0.3586          | 0.9468   |
| 0.0242        | 9.0   | 14067 | 0.3599          | 0.9459   |
| 0.0193        | 10.0  | 15630 | 0.3755          | 0.9444   |
| 0.0133        | 11.0  | 17193 | 0.3994          | 0.9445   |
| 0.0178        | 12.0  | 18756 | 0.3940          | 0.9486   |
| 0.0081        | 13.0  | 20319 | 0.4090          | 0.9479   |
| 0.0064        | 14.0  | 21882 | 0.4170          | 0.9500   |
| 0.004         | 15.0  | 23445 | 0.4484          | 0.9434   |
| 0.0031        | 16.0  | 25008 | 0.4368          | 0.9484   |
| 0.0043        | 17.0  | 26571 | 0.4170          | 0.9496   |
| 0.0053        | 18.0  | 28134 | 0.4129          | 0.9501   |
| 0.0026        | 19.0  | 29697 | 0.4325          | 0.9498   |
| 0.0029        | 20.0  | 31260 | 0.4323          | 0.9505   |


### 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_padding30model", "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": 0.95048, "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