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holocomnb7 – AI Model by omurberaisik | AlphaNeural AI
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omurberaisik
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holocomnb7
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peft
safetensors
adapter
lora
transformers
text-generation
mistralai/Mistral-7B-v0.3
apache-2.0
us
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holocomnb7
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.3
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
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: linear
training_steps: 200
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.7.0
Tokenizers 0.22.2
