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mistral-instruct-v2-sec-cpt-qlora – AI Model by Shamane | AlphaNeural AI
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Shamane
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mistral-instruct-v2-sec-cpt-qlora
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peft
safetensors
mistral
alignment-handbook
trl
sft
generated_from_trainer
arcee-ai/sec-data-mini
mistralai/Mistral-7B-Instruct-v0.2
adapter
apache-2.0
4-bit
bitsandbytes
us
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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
