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Grogros-llama-2-7b-hf-weightsmark-std0.005-key0-ft-OpenMathInstruct-lora – AI Model by Grogros | AlphaNeural AI
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Grogros-llama-2-7b-hf-weightsmark-std0.005-key0-ft-OpenMathInstruct-lora
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Grogros-llama-2-7b-hf-weightsmark-std0.005-key0-ft-OpenMathInstruct-lora
This model is a fine-tuned version of
Grogros/llama-2-7b-hf-weightsmark-std0.005-key0
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500
Training results
Framework versions
PEFT 0.14.0
Transformers 4.46.3
Pytorch 2.5.1.post303
Datasets 3.2.0
Tokenizers 0.20.4
