
<!-- 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_padding0model

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: 0.5120
- Accuracy: 0.9528

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2059        | 1.0   | 1563  | 0.1926          | 0.9406   |
| 0.1663        | 2.0   | 3126  | 0.1661          | 0.9497   |
| 0.1024        | 3.0   | 4689  | 0.2261          | 0.9503   |
| 0.0691        | 4.0   | 6252  | 0.2616          | 0.9494   |
| 0.043         | 5.0   | 7815  | 0.3541          | 0.9466   |
| 0.0431        | 6.0   | 9378  | 0.3030          | 0.9522   |
| 0.0247        | 7.0   | 10941 | 0.3501          | 0.9482   |
| 0.0299        | 8.0   | 12504 | 0.3723          | 0.9478   |
| 0.02          | 9.0   | 14067 | 0.3530          | 0.9496   |
| 0.0204        | 10.0  | 15630 | 0.3836          | 0.9458   |
| 0.0144        | 11.0  | 17193 | 0.3471          | 0.9505   |
| 0.0095        | 12.0  | 18756 | 0.3696          | 0.9504   |
| 0.0087        | 13.0  | 20319 | 0.3877          | 0.9487   |
| 0.0078        | 14.0  | 21882 | 0.4487          | 0.9504   |
| 0.0056        | 15.0  | 23445 | 0.4657          | 0.9512   |
| 0.0032        | 16.0  | 25008 | 0.5004          | 0.9502   |
| 0.0041        | 17.0  | 26571 | 0.4863          | 0.9525   |
| 0.0036        | 18.0  | 28134 | 0.4833          | 0.9516   |
| 0.0           | 19.0  | 29697 | 0.5014          | 0.9523   |
| 0.0001        | 20.0  | 31260 | 0.5120          | 0.9528   |


### 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_padding0model", "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": 0.95276, "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