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codellama2-ARM – AI Model by gokul00060 | AlphaNeural AI
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codellama2-ARM
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codellama/CodeLlama-7b-hf
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codellama2-ARM
This model is a fine-tuned version of
codellama/CodeLlama-7b-hf
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 50
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
