mistral-instruct-v2-sec-cpt-qlora
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the arcee-ai/sec-data-mini 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for Shamane/mistral-instruct-v2-sec-cpt-qlora
Base model
mistralai/Mistral-7B-Instruct-v0.2