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mistral_finetune_docker – AI Model by sujayC66 | AlphaNeural AI
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mistral_finetune_docker
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peft
safetensors
llama-factory
lora
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mistralai/Mistral-7B-Instruct-v0.1
adapter
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Model card
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train_2024-03-01-19-26-33
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.1
on the docker_NL 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.9.0
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
