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con_gpt_med – AI Model by akozlo | AlphaNeural AI

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akozlo/
con_gpt_med

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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con_gpt_med_model

This model is a fine-tuned version of gpt2-medium 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 2.0.0
Tokenizers 0.11.6 hello