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[model_arguments] |
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v2 = true |
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v_parameterization = true |
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pretrained_model_name_or_path = "/kaggle/working/pretrained_model/model.ckpt" |
|
|
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[optimizer_arguments] |
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min_snr_gamma = 5 |
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optimizer_type = "AdamW8bit" |
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learning_rate = 2e-6 |
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max_grad_norm = 1.0 |
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train_text_encoder = false |
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lr_scheduler = "constant" |
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lr_warmup_steps = 0 |
|
|
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[dataset_arguments] |
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enable_bucket = true |
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debug_dataset = false |
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in_json = "/kaggle/working/config_file/kaggle_meta.json" |
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train_data_dir = "/kaggle/working/train_data/content/fine_tune/matsuriv2_dataset/train_data" |
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dataset_repeats = 1 |
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shuffle_caption = true |
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keep_tokens = 0 |
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resolution = "768,768" |
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caption_dropout_rate = 0 |
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caption_tag_dropout_rate = 0 |
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caption_dropout_every_n_epochs = 0 |
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color_aug = false |
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token_warmup_min = 1 |
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token_warmup_step = 0 |
|
|
|
[training_arguments] |
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output_dir = "/kaggle/working/output" |
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output_name = "Matsuriv2-75k-steps" |
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save_precision = "fp16" |
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save_every_n_steps = 36385 |
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save_state = false |
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train_batch_size = 1 |
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max_token_length = 225 |
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mem_eff_attn = false |
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xformers = true |
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max_train_steps = 36384 |
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max_data_loader_n_workers = 8 |
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persistent_data_loader_workers = true |
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gradient_checkpointing = false |
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gradient_accumulation_steps = 1 |
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mixed_precision = "fp16" |
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logging_dir = "/kaggle/working/output/logs" |
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log_prefix = "Matsuriv2-75k-steps" |
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|
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[sample_prompt_arguments] |
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sample_every_n_steps = 250000 |
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sample_sampler = "ddim" |
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|
|
[saving_arguments] |
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save_model_as = "ckpt" |
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|