HDF5 file, superblock version 0
group /
	attribute backend = "tensorflow"
	attribute keras_version = "2.12.0"
	attribute model_config = "{\"class_name\": \"Functional\", \"config\": {\"name\": \"model_1\", \"trainable\": true, \"layers\": [{\"class_name\": \"InputLayer\", \"config\": {\"batch_input_shape\": [null, 14], \"dtype\": \"float32\", \"sparse\": false, \"ragged\": false, \"name\": \"input_2\"}, \"name\": \"input_2\", \"inbound_nodes\": []}, {\"class_name\": \"Embedding\", \"config\": {\"name\": \"embedding_1\", \"trainable\": true, \"dtype\": \"float32\", \"batch_input_shape\": [null, null], \"input_dim\": 136, \"output_dim\": 10, \"embeddings_initializer\": {\"class_name\": \"RandomUniform\", \"config\": {\"minval\": -0.05, \"maxval\": 0.05, \"seed\": null}}, \"embeddings_regularizer\": null, \"activity_regularizer\": null, \"embeddings_constraint\": null, \"mask_zero\": false, \"input_length\": null}, \"name\": \"embedding_1\", \"inbound_nodes\": [[[\"input_2\", 0, 0, {}]]]}, {\"class_name\": \"LSTM\", \"config\": {\"name\": \"lstm_1\", \"trainable\": true, \"dtype\": \"float32\", \"return_sequences\": true, \"return_state\": false, \"go_backwards\": false, \"stateful\": false, \"unroll\": false, \"time_major\": false, \"units\": 10, \"activation\": \"tanh\", \"recurrent_activation\": \"sigmoid\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}, \"shared_object_id\": 3}, \"recurrent_initializer\": {\"class_name\": \"Orthogonal\", \"config\": {\"gain\": 1.0, \"seed\": null}, \"shared_object_id\": 4}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}, \"shared_object_id\": 5}, \"unit_forget_bias\": true, \"kernel_regularizer\": null, \"recurrent_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"recurrent_constraint\": null, \"bias_constraint\": null, \"dropout\": 0.0, \"recurrent_dropout\": 0.0, \"implementation\": 2}, \"name\": \"lstm_1\", \"inbound_nodes\": [[[\"embedding_1\", 0, 0, {}]]]}, {\"class_name\": \"Flatten\", \"config\": {\"name\": \"flatten_1\", \"trainable\": true, \"dtype\": \"float32\", \"data_format\": \"channels_last\"}, \"name\": \"flatten_1\", \"inbound_nodes\": [[[\"lstm_1\", 0, 0, {}]]]}, {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 44, \"activation\": \"softmax\", \"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\": [[[\"flatten_1\", 0, 0, {}]]]}], \"input_layers\": [[\"input_2\", 0, 0]], \"output_layers\": [[\"dense_1\", 0, 0]]}}"
	attribute training_config = "{\"loss\": \"sparse_categorical_crossentropy\", \"metrics\": [[{\"class_name\": \"MeanMetricWrapper\", \"config\": {\"name\": \"accuracy\", \"dtype\": \"float32\", \"fn\": \"sparse_categorical_accuracy\"}}]], \"weighted_metrics\": null, \"loss_weights\": null, \"optimizer_config\": {\"class_name\": \"Custom>Adam\", \"config\": {\"name\": \"Adam\", \"weight_decay\": null, \"clipnorm\": null, \"global_clipnorm\": null, \"clipvalue\": null, \"use_ema\": false, \"ema_momentum\": 0.99, \"ema_overwrite_frequency\": null, \"jit_compile\": false, \"is_legacy_optimizer\": false, \"learning_rate\": 0.0010000000474974513, \"beta_1\": 0.9, \"beta_2\": 0.999, \"epsilon\": 1e-07, \"amsgrad\": false}}}"
group /model_weights
	attribute backend = "tensorflow"
	attribute keras_version = "2.12.0"
	attribute layer_names = "input_2", "embedding_1", "lstm_1", "flatten_1", "dense_1"
group /model_weights/dense_1
	attribute weight_names = "dense_1/kernel:0", "dense_1/bias:0"
group /model_weights/dense_1/dense_1
dataset /model_weights/dense_1/dense_1/bias:0: float32, shape (44)
dataset /model_weights/dense_1/dense_1/kernel:0: float32, shape (140, 44)
group /model_weights/embedding_1
	attribute weight_names = "embedding_1/embeddings:0"
group /model_weights/embedding_1/embedding_1
dataset /model_weights/embedding_1/embedding_1/embeddings:0: float32, shape (136, 10)
group /model_weights/flatten_1
	attribute weight_names = (float64, not shown)
group /model_weights/input_2
	attribute weight_names = (float64, not shown)
group /model_weights/lstm_1
	attribute weight_names = "lstm_1/lstm_cell_1/kernel:0", "lstm_1/lstm_cell_1/recurrent_kernel:0", "lstm_1/lstm_cell_1/bias:0"
group /model_weights/lstm_1/lstm_1
group /model_weights/lstm_1/lstm_1/lstm_cell_1
dataset /model_weights/lstm_1/lstm_1/lstm_cell_1/bias:0: float32, shape (40)
dataset /model_weights/lstm_1/lstm_1/lstm_cell_1/kernel:0: float32, shape (10, 40)
dataset /model_weights/lstm_1/lstm_1/lstm_cell_1/recurrent_kernel:0: float32, shape (10, 40)
group /model_weights/top_level_model_weights
	attribute weight_names = (float64, not shown)
group /optimizer_weights
	attribute weight_names = "iteration:0", "Adam/m/embedding_1/embeddings:0", "Adam/v/embedding_1/embeddings:0", "Adam/m/lstm_1/lstm_cell_1/kernel:0", "Adam/v/lstm_1/lstm_cell_1/kernel:0", "Adam/m/lstm_1/lstm_cell_1/recurrent_kernel:0", "Adam/v/lstm_1/lstm_cell_1/recurrent_kernel:0", "Adam/m/lstm_1/lstm_cell_1/bias:0", "Adam/v/lstm_1/lstm_cell_1/bias:0", "Adam/m/dense_1/kernel:0", "Adam/v/dense_1/kernel:0", "Adam/m/dense_1/bias:0", "Adam/v/dense_1/bias:0"
group /optimizer_weights/Adam
group /optimizer_weights/Adam/m
group /optimizer_weights/Adam/m/dense_1
dataset /optimizer_weights/Adam/m/dense_1/bias:0: float32, shape (44)
dataset /optimizer_weights/Adam/m/dense_1/kernel:0: float32, shape (140, 44)
group /optimizer_weights/Adam/m/embedding_1
dataset /optimizer_weights/Adam/m/embedding_1/embeddings:0: float32, shape (136, 10)
group /optimizer_weights/Adam/m/lstm_1
group /optimizer_weights/Adam/m/lstm_1/lstm_cell_1
dataset /optimizer_weights/Adam/m/lstm_1/lstm_cell_1/bias:0: float32, shape (40)
dataset /optimizer_weights/Adam/m/lstm_1/lstm_cell_1/kernel:0: float32, shape (10, 40)
dataset /optimizer_weights/Adam/m/lstm_1/lstm_cell_1/recurrent_kernel:0: float32, shape (10, 40)
group /optimizer_weights/Adam/v
group /optimizer_weights/Adam/v/dense_1
dataset /optimizer_weights/Adam/v/dense_1/bias:0: float32, shape (44)
dataset /optimizer_weights/Adam/v/dense_1/kernel:0: float32, shape (140, 44)
group /optimizer_weights/Adam/v/embedding_1
dataset /optimizer_weights/Adam/v/embedding_1/embeddings:0: float32, shape (136, 10)
group /optimizer_weights/Adam/v/lstm_1
group /optimizer_weights/Adam/v/lstm_1/lstm_cell_1
dataset /optimizer_weights/Adam/v/lstm_1/lstm_cell_1/bias:0: float32, shape (40)
dataset /optimizer_weights/Adam/v/lstm_1/lstm_cell_1/kernel:0: float32, shape (10, 40)
dataset /optimizer_weights/Adam/v/lstm_1/lstm_cell_1/recurrent_kernel:0: float32, shape (10, 40)
dataset /optimizer_weights/iteration:0: int64, shape ()