one-scene two-scenes
---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-based-german-cased-scene-classification3
  results: []
---

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# bert-based-german-cased-scene-classification3

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1777
- F1: 0.9520

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 1935 | 1.0927          | 0.9520 |
| No log        | 2.0   | 3870 | 1.2336          | 0.9520 |
| No log        | 3.0   | 5805 | 1.1908          | 0.9520 |
| No log        | 4.0   | 7740 | 1.1777          | 0.9520 |


### Framework versions

- Transformers 4.19.3
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
