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Mistral7B-QLoRA-weight – AI Model by ShaoRong | AlphaNeural AI
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Mistral7B-QLoRA-weight
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peft
safetensors
llama-factory
lora
generated_from_trainer
Heng666/dolphin-2.6-mistral-7b-dpo-laser-1-epoch
adapter
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Model card
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train_2024-06-14-10-37-12
This model is a fine-tuned version of
Heng666/dolphin-2.6-mistral-7b-dpo-laser-1-epoch
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 0.11.1
Transformers 4.42.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
