Upload config.json with huggingface_hub
Browse files- config.json +126 -0
config.json
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{
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"save_path": "saved_standard_challenging_context32_nocond_cont_cont_all_cont_eval",
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"model": {
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"base_learning_rate": 8e-05,
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"target": "latent_diffusion.ldm.models.diffusion.ddpm.LatentDiffusion",
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"params": {
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"linear_start": 0.0015,
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"linear_end": 0.0195,
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"num_timesteps_cond": 1,
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"log_every_t": 200,
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"timesteps": 1000,
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"first_stage_key": "image",
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"cond_stage_key": "action_",
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"scheduler_sampling_rate": 0.0,
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"hybrid_key": "c_concat",
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"image_size": [
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64,
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48
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],
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"channels": 3,
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"cond_stage_trainable": false,
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"conditioning_key": "hybrid",
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"monitor": "val/loss_simple_ema",
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"unet_config": {
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"target": "latent_diffusion.ldm.modules.diffusionmodules.openaimodel.UNetModel",
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"params": {
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"image_size": [
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64,
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48
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],
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"in_channels": 8,
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"out_channels": 4,
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"model_channels": 192,
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"attention_resolutions": [
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8,
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4,
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2
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],
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"num_res_blocks": 2,
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"channel_mult": [
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1,
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2,
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3,
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5
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],
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"num_head_channels": 32,
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"use_spatial_transformer": false,
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"transformer_depth": 1
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}
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},
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"temporal_encoder_config": {
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"target": "latent_diffusion.ldm.modules.encoders.temporal_encoder.TemporalEncoder",
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"params": {
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"input_channels": 6,
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"hidden_size": 1024,
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"num_layers": 1,
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"dropout": 0.1,
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"output_channels": 4,
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"output_height": 48,
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"output_width": 64
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}
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},
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"first_stage_config": {
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"target": "latent_diffusion.ldm.models.autoencoder.AutoencoderKL",
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"params": {
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"embed_dim": 4,
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"monitor": "val/rec_loss",
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"ddconfig": {
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"double_z": true,
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"z_channels": 4,
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"resolution": 256,
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"in_channels": 3,
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"out_ch": 3,
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"ch": 128,
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"ch_mult": [
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1,
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2,
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4,
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4
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],
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"num_res_blocks": 2,
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"attn_resolutions": [],
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"dropout": 0.0
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},
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"lossconfig": {
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"target": "torch.nn.Identity"
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}
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}
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},
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"cond_stage_config": "__is_unconditional__"
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}
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},
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"data": {
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"target": "data.data_processing.datasets.DataModule",
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"params": {
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"batch_size": 8,
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"num_workers": 1,
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"wrap": false,
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"shuffle": true,
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"drop_last": true,
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"pin_memory": true,
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"prefetch_factor": 2,
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"persistent_workers": true,
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"train": {
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"target": "data.data_processing.datasets.ActionsData",
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"params": {
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"data_csv_path": "desktop_sequences_filtered_with_desktop_1.5k.challenging.train.target_frames.csv",
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"normalization": "standard",
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"context_length": 32
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}
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}
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}
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},
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"lightning": {
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"trainer": {
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"benchmark": false,
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"max_epochs": 6400,
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"limit_val_batches": 0,
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"accelerator": "gpu",
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"gpus": 1,
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"accumulate_grad_batches": 999999,
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"gradient_clip_val": 1,
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"checkpoint_callback": true
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}
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}
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}
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