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shawgpt-ft – AI Model by GabirelSouza | AlphaNeural AI
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GabirelSouza
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shawgpt-ft
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peft
safetensors
generated_from_trainer
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
adapter
apache-2.0
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shawgpt-ft
This model is a fine-tuned version of
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 50
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
