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updatefinetune
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@@ -8,18 +8,18 @@ if not os.path.isdir(os.path.join("models", model_name)):
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print("Downloading ", model_name, " model...")
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gpt2.download_gpt2(model_name=model_name) # model is saved into current directory under /models/124M/
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file_name = "writing_prompts.txt"
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file_name = "text_adventures.txt"
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sess = gpt2.start_tf_sess()
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gpt2.finetune(sess,
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file_name,
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multi_gpu=True,
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batch_size=8,
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batch_size=32,
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learning_rate=0.0001,
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model_name=model_name,
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sample_every=1000,
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max_checkpoints=1,
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max_checkpoints=8,
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save_every=200,
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steps=600)
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steps=1000)
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gpt2.generate(sess)
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