---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: DHBW-T3INF4333-Aufgabe-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DHBW-T3INF4333-Aufgabe-2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3164
- Accuracy: 0.9204
- F1: 0.8615

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4043        | 1.0   | 569  | 0.2547          | 0.9099   | 0.8399 |
| 0.1911        | 2.0   | 1138 | 0.2272          | 0.9235   | 0.8555 |
| 0.0569        | 3.0   | 1707 | 0.3164          | 0.9204   | 0.8615 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0