---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-cased-news-16batch_5epoch_2e5lr_01wd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-cased-news-16batch_5epoch_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: 0.4124
- F1: 0.9244

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0613        | 1.0   | 3124  | 0.1911          | 0.9188 |
| 0.0379        | 2.0   | 6248  | 0.2606          | 0.9218 |
| 0.0206        | 3.0   | 9372  | 0.2445          | 0.9218 |
| 0.0075        | 4.0   | 12496 | 0.3732          | 0.9194 |
| 0.0052        | 5.0   | 15620 | 0.4124          | 0.9244 |


### Framework versions

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