
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# N_roberta_imdb_padding40model

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: 0.4922
- Accuracy: 0.9495

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2081        | 1.0   | 1563  | 0.2432          | 0.9283   |
| 0.1726        | 2.0   | 3126  | 0.1724          | 0.9493   |
| 0.114         | 3.0   | 4689  | 0.2842          | 0.9384   |
| 0.0767        | 4.0   | 6252  | 0.2583          | 0.9463   |
| 0.0552        | 5.0   | 7815  | 0.3703          | 0.9420   |
| 0.0357        | 6.0   | 9378  | 0.3342          | 0.9386   |
| 0.0318        | 7.0   | 10941 | 0.3284          | 0.9462   |
| 0.0316        | 8.0   | 12504 | 0.4194          | 0.9410   |
| 0.0149        | 9.0   | 14067 | 0.4083          | 0.9483   |
| 0.0175        | 10.0  | 15630 | 0.4237          | 0.9468   |
| 0.0151        | 11.0  | 17193 | 0.4459          | 0.9457   |
| 0.0113        | 12.0  | 18756 | 0.4569          | 0.9478   |
| 0.0061        | 13.0  | 20319 | 0.4325          | 0.9482   |
| 0.0034        | 14.0  | 21882 | 0.5188          | 0.9472   |
| 0.0059        | 15.0  | 23445 | 0.4740          | 0.9484   |
| 0.0078        | 16.0  | 25008 | 0.4421          | 0.9485   |
| 0.0           | 17.0  | 26571 | 0.4819          | 0.9493   |
| 0.0035        | 18.0  | 28134 | 0.4845          | 0.9492   |
| 0.0           | 19.0  | 29697 | 0.5065          | 0.9486   |
| 0.0013        | 20.0  | 31260 | 0.4922          | 0.9495   |


### 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_padding40model", "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": 0.94952, "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