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mistral-7b-finetuned_ranjeet – AI Model by IITJ-Ranjeet | AlphaNeural AI
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IITJ-Ranjeet
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mistral-7b-finetuned_ranjeet
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.1
adapter
apache-2.0
us
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mistral-7b-finetuned_ranjeet
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.1
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
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
