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mhGPT – AI Model by mango278 | AlphaNeural AI
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mango278
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mhGPT
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transformers
tensorboard
GPTConfig
generated_from_trainer
microsoft/phi-2
finetune
mit
endpoints_compatible
us
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mhGPT
This model is a fine-tuned version of
microsoft/phi-2
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.13.3
