End of training

README.md

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+---
+license: mit
+base_model: dbmdz/bert-base-german-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: LernnaviBERT
+  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. -->
+
+# LernnaviBERT
+
+This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0060
+
+## 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: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0385        | 1.0   | 2405 | 0.0137          |
+| 0.0142        | 2.0   | 4810 | 0.0084          |
+| 0.0096        | 3.0   | 7215 | 0.0072          |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.2.0
+- Datasets 2.2.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.1"
+}

model.safetensors

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