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gpt-j-t-q – AI Model by keonju | AlphaNeural AI
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gpt-j-t-q
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pytorch
generated_from_trainer
apache-2.0
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gpt-j-t-q
This model is a fine-tuned version of
EleutherAI/gpt-j-6B
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: 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: linear
lr_scheduler_warmup_steps: 100
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2
