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acegpt_7B_4bit_qlora_flores – AI Model by SaiedAlshahrani | AlphaNeural AI

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SaiedAlshahrani/
acegpt_7B_4bit_qlora_flores

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asas-ai/AceGPT-7B_8bit

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acegpt_7B_4bit_qlora_flores

This model is a fine-tuned version of asas-ai/AceGPT-7B_8bit 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
lr_scheduler_warmup_ratio: 0.03
training_steps: 2200
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.4.0
Tokenizers 0.14.1