HeilbronnGPT-Alpha
Collection
A collection of German finetuned language models. All based on Microsoft Phi 2.
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12 items
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Updated
HeilbronnGPTAlpha-booksum_de
This model is a fine-tuned version of microsoft/phi-2 on the booksum_de dataset.
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for TristanBehrens/HeilbronnGPTAlpha-booksum_de
Base model
microsoft/phi-2