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llama-7b-qlora-mmlu-training – AI Model by Janooo123 | AlphaNeural AI
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Janooo123
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llama-7b-qlora-mmlu-training
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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llama-7b-qlora-mmlu-training
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown 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: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 20
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.15.0
Tokenizers 0.21.1
