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arpachat
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output-fashion-400

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
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xet
 Metrics Community
arpachat commited on
Commit
5614260
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1 Parent(s): 5742b8d

End of training

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Files changed (13) hide show
  1. README.md +2 -2
  2. logs/text2image-fine-tune/1702515829.435362/events.out.tfevents.1702515829.69a9ca71ebd3.26389.1 +3 -0
  3. logs/text2image-fine-tune/1702515829.4372208/hparams.yml +51 -0
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  5. logs/text2image-fine-tune/1702515865.5927641/hparams.yml +51 -0
  6. logs/text2image-fine-tune/1702515908.8860111/events.out.tfevents.1702515908.69a9ca71ebd3.26762.1 +3 -0
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  8. logs/text2image-fine-tune/events.out.tfevents.1702514554.69a9ca71ebd3.20961.0 +2 -2
  9. logs/text2image-fine-tune/events.out.tfevents.1702515829.69a9ca71ebd3.26389.0 +3 -0
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  11. logs/text2image-fine-tune/events.out.tfevents.1702515908.69a9ca71ebd3.26762.0 +3 -0
  12. unet/diffusion_pytorch_model.safetensors +1 -1
  13. val_imgs_grid.png +0 -0
README.md CHANGED
@@ -37,9 +37,9 @@ image.save("my_image.png")
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  These are the key hyperparameters used during training:
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- * Epochs: 16
41
  * Learning rate: 1e-05
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- * Batch size: 1
43
  * Gradient accumulation steps: 2
44
  * Image resolution: 512
45
  * Mixed-precision: fp16
 
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38
  These are the key hyperparameters used during training:
39
 
40
+ * Epochs: 58
41
  * Learning rate: 1e-05
42
+ * Batch size: 4
43
  * Gradient accumulation steps: 2
44
  * Image resolution: 512
45
  * Mixed-precision: fp16
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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: false
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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: 10000
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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: jwl25b/final_project_dataset
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 2
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+ gradient_checkpointing: true
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+ hub_model_id: null
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+ hub_token: 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
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+ image_column: image
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+ input_perturbation: 0
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+ learning_rate: 1.0e-05
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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: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 400
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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: 400
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+ output_dir: output-fashion-400
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+ prediction_type: null
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+ pretrained_model_name_or_path: OFA-Sys/small-stable-diffusion-v0
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+ push_to_hub: true
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+ random_flip: true
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ revision: null
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+ scale_lr: false
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+ seed: null
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+ snr_gamma: null
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+ tracker_project_name: text2image-fine-tune
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+ train_batch_size: 64
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ use_ema: true
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+ validation_epochs: 5
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+ variant: null
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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: false
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+ cache_dir: null
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+ center_crop: true
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+ checkpointing_steps: 10000
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+ dataset_name: jwl25b/final_project_dataset
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+ input_perturbation: 0
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+ learning_rate: 1.0e-05
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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: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 400
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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: 200
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+ output_dir: output-fashion-400
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+ prediction_type: null
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+ pretrained_model_name_or_path: OFA-Sys/small-stable-diffusion-v0
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+ push_to_hub: true
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+ random_flip: true
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ revision: null
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+ scale_lr: false
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+ seed: null
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+ snr_gamma: null
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+ tracker_project_name: text2image-fine-tune
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+ train_batch_size: 16
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ use_ema: true
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+ validation_epochs: 5
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+ variant: null
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+ adam_beta1: 0.9
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ checkpointing_steps: 10000
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+ learning_rate: 1.0e-05
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+ lr_scheduler: constant
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+ max_grad_norm: 1.0
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+ output_dir: output-fashion-400
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