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README.md

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----
-license: apache-2.0
----
+---
+language:
+- de
+license: apache-2.0
+base_model: distilbert-base-uncased
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: Gkumi/tensorflow-DistilBERT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 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