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llama3_Bloodwork_Order_Synth_Data_Phase_1_and_2 – AI Model by Ahmad0067 | AlphaNeural AI
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Ahmad0067
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llama3_Bloodwork_Order_Synth_Data_Phase_1_and_2
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
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llama3_Bloodwork_Order_Synth_Data_Phase_1_and_2
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
