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simplefoc-7b-sft-qlora – AI Model by mayalenE | AlphaNeural AI
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mayalenE
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simplefoc-7b-sft-qlora
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
TheBloke/Mistral-7B-v0.1-GPTQ
adapter
apache-2.0
us
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simplefoc-7b-sft-qlora
This model is a fine-tuned version of
TheBloke/Mistral-7B-v0.1-GPTQ
on the generator 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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
