outputs
This model is a fine-tuned version of TheBloke/Mistral-7B-OpenOrca-GPTQ 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: 7.344117314813483e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 203
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.15.1
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Model tree for simpetre/outputs
Base model
Open-Orca/Mistral-7B-OpenOrca
Quantized
TheBloke/Mistral-7B-OpenOrca-GPTQ