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diabtest-ds – AI Model by Danog | AlphaNeural AI

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Danog/
diabtest-ds

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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diabtest-ds

This model is a fine-tuned version of gpt2 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: 0.0005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.24.0
Pytorch 1.10.2+cu113
Datasets 2.6.1
Tokenizers 0.13.2