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Hello, I'm interested in Cogview implemenation.
Actually I have problem in executing scripts/pretrain_single_node.sh
After 20,000 training iteration and executing ./scripts/text2image.sh, but there is no exact of shape for bird or animal in the result image. The text is 飞鹰(Flying eagle)
For training, I executed the shell script only changing the variable, NUM_GPUS_PER_WORKER from 8 to 1 since I have only one GPU instance.
I'm using Google Colab(A100 is supported).
NUM_GPUS_PER_WORKER=1
Image tokenizer number of tokens : 8192
The Number of layers : 12
The size of hidden layer : 1024
The number of attention heads : 16
mp_rank_00_model_state.pt is the result file of training and the size of pt(pytorch) file is only 2.76Giga bytes.
Of course, if I use the pretrained model, cogview-base.tar, then the result is all right.
Please check my question and I hope you can give any advise or comment.
The text was updated successfully, but these errors were encountered:
Hello, I'm interested in Cogview implemenation.
![image](https://private-user-images.githubusercontent.com/34644194/333762017-0d36497d-53d7-44e3-a632-f8a6098fd571.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.bSdQMlrhgrXViCrvPUfdAaDPcP8sOzdq-P54ydnvK9Q)
Actually I have problem in executing scripts/pretrain_single_node.sh
After 20,000 training iteration and executing ./scripts/text2image.sh, but there is no exact of shape for bird or animal in the result image. The text is 飞鹰(Flying eagle)
For training, I executed the shell script only changing the variable, NUM_GPUS_PER_WORKER from 8 to 1 since I have only one GPU instance.
I'm using Google Colab(A100 is supported).
mp_rank_00_model_state.pt is the result file of training and the size of pt(pytorch) file is only 2.76Giga bytes.
Of course, if I use the pretrained model, cogview-base.tar, then the result is all right.
![image](https://private-user-images.githubusercontent.com/34644194/333762669-17ca1db6-646f-4fbc-8fc0-3d36931c2a6d.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.6EZpzOudMT52QZHqN3xvn3sI1c6CPk7fMXCWzCLd7aU)
Please check my question and I hope you can give any advise or comment.
The text was updated successfully, but these errors were encountered: