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exp-factoid-lora – AI Model by addictivepixels | AlphaNeural AI
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addictivepixels
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exp-factoid-lora
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
robinsmits/Mistral-Instruct-7B-v0.2-ChatAlpacaV2-4bit
adapter
apache-2.0
us
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exp-factoid-lora
This model is a fine-tuned version of
robinsmits/Mistral-Instruct-7B-v0.2-ChatAlpacaV2-4bit
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
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 8
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.0
