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all_layers_all_domains – AI Model by Multi-Domain-Expert-Learning | AlphaNeural AI
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Multi-Domain-Expert-Learning
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all_layers_all_domains
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transformers
pytorch
gpt_neox
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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all_layers_all_domains
This model is a fine-tuned version of
EleutherAI/pythia-1b-deduped
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: 0.0001
train_batch_size: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.28.1
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.3
