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mixed_training – AI Model by ErikZ | AlphaNeural AI
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ErikZ
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mixed_training
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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mixed_training
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
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: 0.0003
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.1
Datasets 2.19.1
Tokenizers 0.20.1
