---
language:
- de
license: apache-2.0
base_model: distilbert-base-uncased
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Gkumi/tensorflow-DistilBERT
  results: []
---

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# Gkumi/tensorflow-DistilBERT

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- precision: 0.9260
- recall: 0.9306
- f1: 0.9283
- accuracy: 0.9657

## 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:
- num_train_epochs: 5
- train_batch_size: 16
- eval_batch_size: 32
- learning_rate: 2e-05
- weight_decay_rate: 0.01
- num_warmup_steps: 0
- fp16: True

### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1