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# N_bert_imdb_padding90model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6812
- Accuracy: 0.9370

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.231         | 1.0   | 1563  | 0.2247          | 0.9244   |
| 0.1494        | 2.0   | 3126  | 0.2082          | 0.9327   |
| 0.0859        | 3.0   | 4689  | 0.3046          | 0.9325   |
| 0.0543        | 4.0   | 6252  | 0.3399          | 0.9306   |
| 0.0426        | 5.0   | 7815  | 0.4251          | 0.9296   |
| 0.0382        | 6.0   | 9378  | 0.4925          | 0.9283   |
| 0.0239        | 7.0   | 10941 | 0.5281          | 0.9283   |
| 0.0175        | 8.0   | 12504 | 0.4922          | 0.9323   |
| 0.0161        | 9.0   | 14067 | 0.5648          | 0.9324   |
| 0.0091        | 10.0  | 15630 | 0.5808          | 0.9366   |
| 0.0139        | 11.0  | 17193 | 0.5845          | 0.9345   |
| 0.0041        | 12.0  | 18756 | 0.5509          | 0.9330   |
| 0.0055        | 13.0  | 20319 | 0.6335          | 0.9342   |
| 0.0019        | 14.0  | 21882 | 0.6713          | 0.9356   |
| 0.0024        | 15.0  | 23445 | 0.6316          | 0.9358   |
| 0.0           | 16.0  | 25008 | 0.6567          | 0.9379   |
| 0.0038        | 17.0  | 26571 | 0.6668          | 0.9375   |
| 0.0009        | 18.0  | 28134 | 0.6795          | 0.9373   |
| 0.0013        | 19.0  | 29697 | 0.6736          | 0.9371   |
| 0.0001        | 20.0  | 31260 | 0.6812          | 0.9370   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imdb"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "N_bert_imdb_padding90model", "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": 0.93696, "name": "Accuracy"}]}]}]}
transformers pytorch bert text-classification generated_from_trainer dataset:imdb base_model:bert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us