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CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display | SDXL: Correctness fixes for global_step handling #255
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… before the exhausted message
…ted optimisation step count
bghira
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CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display
CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display | SDXL: Correctness fixes for global_step handling
Dec 30, 2023
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