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deci-finetuned_BK_Regulation – AI Model by truongghieu | AlphaNeural AI
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deci-finetuned_BK_Regulation
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
custom_code
Deci/DeciLM-6b-instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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deci-finetuned_BK_Regulation
This model is a fine-tuned version of
Deci/DeciLM-6b-instruct
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
