moizsajid commited on
Commit
ebc9dc0
1 Parent(s): 9cdc526

Push Keras model using huggingface_hub.

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.gitattributes CHANGED
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+ variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: keras
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+ ---
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+
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+ | Hyperparameters | Value |
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+ | :-- | :-- |
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+ | name | RMSprop |
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+ | weight_decay | None |
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+ | clipnorm | None |
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+ | global_clipnorm | None |
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+ | clipvalue | None |
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+ | use_ema | False |
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+ | ema_momentum | 0.99 |
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+ | ema_overwrite_frequency | 100 |
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+ | jit_compile | True |
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+ | is_legacy_optimizer | False |
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+ | learning_rate | 0.0010000000474974513 |
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+ | rho | 0.9 |
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+ | momentum | 0.0 |
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+ | epsilon | 1e-07 |
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+ | centered | False |
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+ | training_precision | float32 |
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+
config.json ADDED
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+ {"name": "diffusion_model", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 320], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_2"}, "name": "input_2", "inbound_nodes": []}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense", "inbound_nodes": [[["input_2", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 32, 32, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Activation", "config": {"name": "activation", "trainable": true, "dtype": "float32", "activation": "swish"}, "name": "activation", "inbound_nodes": [[["dense", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d", "trainable": true, "dtype": "float32", "kernel_size": 3, "padding": 1, "filters": 320}, "name": "padded_conv2d", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_1", "inbound_nodes": [[["activation", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block", "inbound_nodes": [[["padded_conv2d", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 77, 768], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 40}, "name": "spatial_transformer", "inbound_nodes": [[["res_block", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_1", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block_1", "inbound_nodes": [[["spatial_transformer", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_1", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 40}, "name": "spatial_transformer_1", "inbound_nodes": [[["res_block_1", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_9", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 320, "kernel_size": 3}, "name": "padded_conv2d_9", "inbound_nodes": [[["spatial_transformer_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_2", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_2", "inbound_nodes": [[["padded_conv2d_9", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_2", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 80}, "name": "spatial_transformer_2", "inbound_nodes": [[["res_block_2", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_3", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_3", "inbound_nodes": [[["spatial_transformer_2", 0, 0, {}], 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