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llama-7b-qlora-csharp – AI Model by fasterinnerlooper | AlphaNeural AI

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fasterinnerlooper/
llama-7b-qlora-csharp

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stabilityai/stable-code-3b

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llama-7b-qlora-csharp

This model is a fine-tuned version of stabilityai/stable-code-3b 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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
training_steps: 50

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0