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Shastra-Mistral-Math-SFT – AI Model by shastraai | AlphaNeural AI
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shastraai
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Shastra-Mistral-Math-SFT
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
TheBloke/Mistral-7B-v0.1-GPTQ
adapter
apache-2.0
us
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Shastra-Mistral-Math-SFT
This model is a fine-tuned version of
TheBloke/Mistral-7B-v0.1-GPTQ
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
