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mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit – AI Model by NassimB | AlphaNeural AI
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NassimB
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mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit
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peft
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
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: 0.0003
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.1
Pytorch 2.2.0+cu121
Datasets 2.14.6
Tokenizers 0.15.1
