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Py-genius – AI Model by damerajee | AlphaNeural AI

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damerajee/
Py-genius

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damerajee/codellama2-finetuned-alpaca-18k-fin

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Py-genius

This model is a fine-tuned version of damerajee/codellama2-finetuned-alpaca-18k-fin 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: 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: 200
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0