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# bert-base-cased-news-16batch_5epoch_2e5lr_1wd

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: 0.3683
- F1: 0.9276

## 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: 47
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0615        | 1.0   | 3124  | 0.1887          | 0.9221 |
| 0.0382        | 2.0   | 6248  | 0.2401          | 0.9240 |
| 0.0208        | 3.0   | 9372  | 0.2618          | 0.9265 |
| 0.0026        | 4.0   | 12496 | 0.3209          | 0.9230 |
| 0.0029        | 5.0   | 15620 | 0.3683          | 0.9276 |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-news-16batch_5epoch_2e5lr_1wd", "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