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mistral-finetuned-medmcqa-256 – AI Model by saankhya1997 | AlphaNeural AI
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mistral-finetuned-medmcqa-256
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tensorboard
safetensors
generated_from_trainer
TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
finetune
apache-2.0
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mistral-finetuned-medmcqa-256
This model is a fine-tuned version of
TheBloke/Mistral-7B-Instruct-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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
