
<!-- 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. -->

# bert-base-cased-5kvul-10aug-3nsfw-10w-exp-10ep

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0013
- Accuracy: 1.0

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2633        | 1.0   | 607  | 0.0025          | 1.0      |
| 0.2317        | 2.0   | 1214 | 0.0119          | 1.0      |
| 0.1965        | 3.0   | 1821 | 0.0057          | 1.0      |
| 0.1648        | 4.0   | 2428 | 0.0031          | 1.0      |
| 0.097         | 5.0   | 3035 | 0.0022          | 1.0      |
| 0.0862        | 6.0   | 3642 | 0.0016          | 1.0      |
| 0.0604        | 7.0   | 4249 | 0.0013          | 1.0      |
| 0.0515        | 8.0   | 4856 | 0.0016          | 1.0      |
| 0.0547        | 9.0   | 5463 | 0.0011          | 1.0      |
| 0.0414        | 10.0  | 6070 | 0.0013          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-5kvul-10aug-3nsfw-10w-exp-10ep", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:bert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us