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Para textual4/17/2023 epoch=000010.ckpt - the training checkpoint at 10 epochs.embeddings_gs-5699.pt - the embedding file at 5699 step.Inside the checkpoints folder, you should see quite a number of files: You can stop the training once it reached around 5000 to 7000 steps. Images that are prefix with sample_scaled_ represents the samples generated and it should have some similarities with your training data if the training goes well. You should check the images folder to get a grasp of the performance. Omit it to run the training indefinitely. The training will run indefinitely or based on the number of max_steps that you have set in the config file: trainer: benchmark: True max_steps: 4000Ĭheck the v1-finetune.yaml for reference as this configuration is not included in v1-finetune_style.yaml.
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