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# bert-base-cased-news-16batch_10epoch_2e5lr_01wd

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: 0.4558
- F1: 0.9211

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0626        | 1.0   | 3124  | 0.2043          | 0.9160 |
| 0.0337        | 2.0   | 6248  | 0.2799          | 0.9154 |
| 0.0243        | 3.0   | 9372  | 0.2959          | 0.9144 |
| 0.0077        | 4.0   | 12496 | 0.3115          | 0.9195 |
| 0.0085        | 5.0   | 15620 | 0.3588          | 0.9172 |
| 0.0073        | 6.0   | 18744 | 0.3413          | 0.9175 |
| 0.0028        | 7.0   | 21868 | 0.3517          | 0.9217 |
| 0.001         | 8.0   | 24992 | 0.4161          | 0.9238 |
| 0.0011        | 9.0   | 28116 | 0.4539          | 0.9230 |
| 0.0           | 10.0  | 31240 | 0.4558          | 0.9211 |


### 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_10epoch_2e5lr_01wd", "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