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mistral_lora_output – AI Model by LUKAS0089 | AlphaNeural AI
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LUKAS0089
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mistral_lora_output
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peft
safetensors
adapter
lora
transformers
text-generation
mistralai/Mistral-7B-v0.3
apache-2.0
us
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mistral_lora_output
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
