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README.md
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [LSX-UniWue/LLaMmlein_1b](https://huggingface.co/LSX-UniWue/LLaMmlein_1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7288
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.3607 | 1.0 | 7378 | 1.7371 |
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| 1.422 | 2.0 | 14756 | 1.7271 |
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| 1.5202 | 3.0 | 22134 | 1.7288 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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# LLäMmlein 1B Chat
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This is a chat adapter for the German Tinyllama 1B language model.
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Find more details on our [page](https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/)!
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