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gpt-scp-neo-125M – AI Model by PhilSad | AlphaNeural AI
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PhilSad
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gpt-scp-neo-125M
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transformers
pytorch
tensorboard
gpt_neo
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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output_gptneo125-2
This model is a fine-tuned version of
EleutherAI/gpt-neo-125M
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: 8
eval_batch_size: 8
seed: 42
distributed_type: tpu
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.17.0.dev0
Pytorch 1.10.0+cu102
Datasets 1.18.3
Tokenizers 0.11.0
