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# N_roberta_imdb_padding10model

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: 0.5407
- Accuracy: 0.9524

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2113        | 1.0   | 1563  | 0.2381          | 0.9337   |
| 0.1641        | 2.0   | 3126  | 0.1671          | 0.9498   |
| 0.1084        | 3.0   | 4689  | 0.2624          | 0.9476   |
| 0.0731        | 4.0   | 6252  | 0.2613          | 0.9496   |
| 0.0488        | 5.0   | 7815  | 0.3130          | 0.9481   |
| 0.0398        | 6.0   | 9378  | 0.3571          | 0.9473   |
| 0.0254        | 7.0   | 10941 | 0.3278          | 0.9494   |
| 0.0282        | 8.0   | 12504 | 0.4027          | 0.9466   |
| 0.0214        | 9.0   | 14067 | 0.3643          | 0.9493   |
| 0.0151        | 10.0  | 15630 | 0.4171          | 0.9495   |
| 0.0146        | 11.0  | 17193 | 0.4385          | 0.9505   |
| 0.0075        | 12.0  | 18756 | 0.4331          | 0.9523   |
| 0.0133        | 13.0  | 20319 | 0.3997          | 0.952    |
| 0.0053        | 14.0  | 21882 | 0.4604          | 0.9530   |
| 0.0044        | 15.0  | 23445 | 0.4686          | 0.952    |
| 0.0003        | 16.0  | 25008 | 0.5177          | 0.9508   |
| 0.0028        | 17.0  | 26571 | 0.5353          | 0.9514   |
| 0.0012        | 18.0  | 28134 | 0.5197          | 0.9525   |
| 0.0001        | 19.0  | 29697 | 0.5354          | 0.9519   |
| 0.0006        | 20.0  | 31260 | 0.5407          | 0.9524   |


### 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_padding10model", "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": 0.95244, "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