End of training
Browse files- .gitattributes +1 -0
- README.md +1 -1
- checkpoint-6700000/optimizer.bin +3 -0
- checkpoint-6700000/random_states_0.pkl +3 -0
- checkpoint-6700000/scaler.pt +3 -0
- checkpoint-6700000/scheduler.bin +3 -0
- checkpoint-6700000/unet/config.json +67 -0
- checkpoint-6700000/unet/diffusion_pytorch_model.safetensors +3 -0
- logs/text2image-fine-tune/1701129493.86253/events.out.tfevents.1701129493.DESKTOP-TNN0PMP.15428.1 +3 -0
- logs/text2image-fine-tune/1701129493.8645382/hparams.yml +50 -0
- logs/text2image-fine-tune/events.out.tfevents.1701129493.DESKTOP-TNN0PMP.15428.0 +3 -0
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
- val_imgs_grid.png +2 -2
- val_imgs_grid4.png +3 -0
.gitattributes
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val_imgs_grid1.png filter=lfs diff=lfs merge=lfs -text
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val_imgs_grid2.png filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -37,7 +37,7 @@ image.save("my_image.png")
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These are the key hyperparameters used during training:
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-
* Epochs:
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* Learning rate: 1e-08
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* Batch size: 1
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* Gradient accumulation steps: 1
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These are the key hyperparameters used during training:
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+
* Epochs: 17
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* Learning rate: 1e-08
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* Batch size: 1
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* Gradient accumulation steps: 1
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checkpoint-6700000/optimizer.bin
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checkpoint-6700000/unet/config.json
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{
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"_diffusers_version": "0.22.0.dev0",
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"_name_or_path": "amazing-logos-v5\\checkpoint-6320000",
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"act_fn": "silu",
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"downsample_padding": 1,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"resnet_out_scale_factor": 1.0,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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"upcast_attention": false,
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}
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checkpoint-6700000/unet/diffusion_pytorch_model.safetensors
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logs/text2image-fine-tune/1701129493.86253/events.out.tfevents.1701129493.DESKTOP-TNN0PMP.15428.1
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logs/text2image-fine-tune/1701129493.8645382/hparams.yml
ADDED
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: true
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cache_dir: null
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caption_column: text
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center_crop: true
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checkpointing_steps: 100000
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: iamkaikai/amazing_logos_v4
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: amazing-logos-v5
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hub_token: null
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image_column: image
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input_perturbation: 0
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learning_rate: 1.0e-08
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local_rank: -1
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logging_dir: logs
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lr_scheduler: constant
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lr_warmup_steps: 400000
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max_grad_norm: 1.0
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max_train_samples: null
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max_train_steps: 6753267
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mixed_precision: fp16
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noise_offset: 0
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non_ema_revision: null
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num_train_epochs: 17
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output_dir: amazing-logos-v5
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prediction_type: null
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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push_to_hub: true
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random_flip: false
|
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report_to: tensorboard
|
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resolution: 512
|
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resume_from_checkpoint: checkpoint-6320000
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revision: null
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scale_lr: false
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seed: 6666
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snr_gamma: null
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tracker_project_name: text2image-fine-tune
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: false
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use_ema: false
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validation_epochs: 1
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logs/text2image-fine-tune/events.out.tfevents.1701129493.DESKTOP-TNN0PMP.15428.0
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unet/config.json
CHANGED
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unet/diffusion_pytorch_model.safetensors
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