output_GEITje-7B-ultra
This model is a fine-tuned version of BramVanroy/GEITje-7B-ultra on the None 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for Amala3/output_GEITje-7B-ultra
Base model
mistralai/Mistral-7B-v0.1
Finetuned
Rijgersberg/GEITje-7B
Finetuned
BramVanroy/GEITje-7B-ultra-sft
Finetuned
BramVanroy/GEITje-7B-ultra