example_id int64 0 3.52k | metadata stringlengths 680 725 | classification_prompt stringlengths 18k 44.2k | classification_completion stringclasses 14
values | classification_text stringlengths 18.1k 44.2k | improved_signature stringlengths 6.26k 11.4k | improved_model_weights stringlengths 9.45k 24.9k | training_metrics stringlengths 1.45k 2.92k |
|---|---|---|---|---|---|---|---|
3,500 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.66, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6005, "learning_rate": 0.02845... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.273954,
-0.171526,
-0.133831,
0.326427,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.273954,
-0.171526,
-0.133831,
0.326427,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2125929594039917, "std": 1.1144611835479736}, "1": {"mean": 0.5303889513015747, "std": 0.7759892344474792}, "2": {"mean": 1.0418189764022827, "std": 1.2996494770050049}, "3": {"mean": 1.1729464530944824, "std": 1.5894087553024292}, "4": {"mean": 0.870202... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.273954, -0.171526, -0.133831, 0.326427, 0.3657], [0.338118, -0.06... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916853785514832, "train_acc": 0.48, "val_loss": 0.7230191826820374, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811200976371765, "train_acc": 0.57, "val_loss": 0.6664378643035889, "val_... |
3,501 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.84, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4115, "learning_rate": 0.02668389038665228, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.079904,
0.312344,
0.322913,
0.138813,... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.079904,
0.312344,
0.322913,
0.138813,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.2000749111175537, "std": 1.5197176933288574}, "1": {"mean": -0.38423436880111694, "std": 1.6396113634109497}, "2": {"mean": 1.5098190307617188, "std": 1.1660997867584229}, "3": {"mean": 1.4017413854599, "std": 1.2143508195877075}, "4": {"mean": 1.4709082... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.079904, 0.312344, 0.322913, 0.138813, 0.547997], [-0.378008, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7075252532958984, "train_acc": 0.435, "val_loss": 0.6908130645751953, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6931375563144684, "train_acc": 0.565, "val_loss": 0.6799575686454773, "v... |
3,502 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.66, "improved_accuracy": 0.9, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6042, "learning_rate": 0.09710596793543204, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.527617,
1.545408,
0.58596,
0.001266,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.527617,
1.545408,
0.58596,
0.001266,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 4.867245674133301, "std": 5.289434432983398}, "1": {"mean": 2.7961313724517822, "std": 5.042789936065674}, "2": {"mean": -4.227551460266113, "std": 2.616955041885376}, "3": {"mean": -0.4004312753677368, "std": 4.043003082275391}, "4": {"mean": -3.065401315... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.527617, 1.545408, 0.58596, 0.001266, -0.348929], [1.761667, 1.535... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7029383182525635, "train_acc": 0.5, "val_loss": 0.6818722486495972, "val_acc": 0.86}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6686859428882599, "train_acc": 0.81, "val_loss": 0.48025667667388916, "val... |
3,503 | {"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1879, "learning_rate": 0.09116377352286653, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.149033,
0.356458,
-0.292673,
-0.385794... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.149033,
0.356458,
-0.292673,
-0.385794... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.034996356815099716, "std": 1.0945217609405518}, "1": {"mean": 2.0957813262939453, "std": 2.6279501914978027}, "2": {"mean": 1.7934472560882568, "std": 1.8490434885025024}, "3": {"mean": -1.2931100130081177, "std": 1.8497850894927979}, "4": {"mean": 1.58... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.149033, 0.356458, -0.292673, -0.385794, 0.341063], [1.101326, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6932738423347473, "train_acc": 0.49, "val_loss": 0.9178134202957153, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7231869697570801, "train_acc": 0.59, "val_loss": 0.698720395565033, "val_... |
3,504 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.4, "improved_accuracy": 0.9, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3665, "learning_rate": 0.04019000468276727, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.480163,
0.291378,
0.360179,
0.133042,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.480163,
0.291378,
0.360179,
0.133042,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.8956165909767151, "std": 1.1560847759246826}, "1": {"mean": 0.01867859624326229, "std": 0.7776174545288086}, "2": {"mean": 0.6469040513038635, "std": 1.2963767051696777}, "3": {"mean": 0.16394230723381042, "std": 1.1978929042816162}, "4": {"mean": 0.7012... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.480163, 0.291378, 0.360179, 0.133042, 0.057767], [0.131176, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800943613052368, "train_acc": 0.595, "val_loss": 0.7516963481903076, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6576520800590515, "train_acc": 0.595, "val_loss": 0.779666006565094, "val... |
3,505 | {"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.8, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9463, "learning_rate": 0.041042722... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.100002,
0.358667,
0.144589,
0.067151,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.100002,
0.358667,
0.144589,
0.067151,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4748114347457886, "std": 1.3579339981079102}, "1": {"mean": -0.06376076489686966, "std": 1.709707498550415}, "2": {"mean": -0.08364595472812653, "std": 1.2525608539581299}, "3": {"mean": -0.06005948781967163, "std": 1.5392194986343384}, "4": {"mean": 1.7... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.100002, 0.358667, 0.144589, 0.067151, 0.581256], [-0.274612, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.716411292552948, "train_acc": 0.42, "val_loss": 0.6963366866111755, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6815591752529144, "train_acc": 0.58, "val_loss": 0.7948564887046814, "val_... |
3,506 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5266, "learning_rate": 0.025... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367438,
0.107996,
-0.472115,
0.1946,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367438,
0.107996,
-0.472115,
0.1946,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.8918009996414185, "std": 1.4907450675964355}, "1": {"mean": 0.688082218170166, "std": 1.1767133474349976}, "2": {"mean": -0.8978669047355652, "std": 1.4035828113555908}, "3": {"mean": -0.45756348967552185, "std": 1.164732813835144}, "4": {"mean": -0.422... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.367438, 0.107996, -0.472115, 0.1946, -0.181901], [0.079588, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6874166131019592, "train_acc": 0.56, "val_loss": 0.6863283514976501, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6864222586154938, "train_acc": 0.56, "val_loss": 0.6836471557617188, "val... |
3,507 | {"target_pattern": "palindrome", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3497, "learning_rate": 0.07324903211512543, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.673409,
0.072902,
0.27653,
0.228165,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.673409,
0.072902,
0.27653,
0.228165,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.8750766515731812, "std": 1.8381876945495605}, "1": {"mean": 2.805166482925415, "std": 3.0876693725585938}, "2": {"mean": -0.46469154953956604, "std": 2.658130645751953}, "3": {"mean": -0.8468157649040222, "std": 2.525662660598755}, "4": {"mean": 4.086148... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.673409, 0.072902, 0.27653, 0.228165, 0.171551], [1.117314, 0.0933... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6937560737133026, "train_acc": 0.575, "val_loss": 0.7222091555595398, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802337765693665, "train_acc": 0.575, "val_loss": 0.7167940735816956, "v... |
3,508 | {"target_pattern": "ends_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1012, "learning_rate": 0.022352801562225633, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.204002,
-0.22609,
0.2941,
0.096015,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.204002,
-0.22609,
0.2941,
0.096015,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.458268404006958, "std": 1.3018118143081665}, "1": {"mean": 0.3245255649089813, "std": 1.2317074537277222}, "2": {"mean": 0.8420604467391968, "std": 1.6981070041656494}, "3": {"mean": -0.21347206830978394, "std": 1.0423005819320679}, "4": {"mean": -0.1248... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.204002, -0.22609, 0.2941, 0.096015, 0.462006], [0.319026, -0.2513... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6903770267963409, "train_acc": 0.545, "val_loss": 0.6830360293388367, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6912883818149567, "train_acc": 0.545, "val_loss": 0.6770689487457275, "va... |
3,509 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8565, "learning_rate": 0.03291711938... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.287389,
0.306444,
-0.165735,
-0.479874,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.287389,
0.306444,
-0.165735,
-0.479874,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.3115035593509674, "std": 1.2933341264724731}, "1": {"mean": -0.32461902499198914, "std": 1.3939446210861206}, "2": {"mean": -2.0105884075164795, "std": 1.8106722831726074}, "3": {"mean": 1.434956669807434, "std": 1.9971805810928345}, "4": {"mean": 0.339... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.287389, 0.306444, -0.165735, -0.479874, 0.308727], [0.38936, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7018190622329712, "train_acc": 0.45, "val_loss": 0.6993057131767273, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726306080818176, "train_acc": 0.58, "val_loss": 0.7364352345466614, "val_... |
3,510 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2984, "learning_rate": 0.08016982403229758, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.966376,
0.204035,
-0.035707,
-0.055775... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.966376,
0.204035,
-0.035707,
-0.055775... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0356863737106323, "std": 2.0714311599731445}, "1": {"mean": -1.886231541633606, "std": 1.1295170783996582}, "2": {"mean": 2.305722713470459, "std": 2.4289913177490234}, "3": {"mean": -1.1792443990707397, "std": 0.9858871698379517}, "4": {"mean": -1.47791... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.966376, 0.204035, -0.035707, -0.055775, -0.149024], [-0.335962, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6872682273387909, "train_acc": 0.49, "val_loss": 0.7689254879951477, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6943511366844177, "train_acc": 0.58, "val_loss": 0.7048705816268921, "val_... |
3,511 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6800, "learning_rate": 0.08301361890878473, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.318112,
-0.066528,
0.423259,
0.376526... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.318112,
-0.066528,
0.423259,
0.376526... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5318816900253296, "std": 1.3035036325454712}, "1": {"mean": 3.5432024002075195, "std": 2.3326478004455566}, "2": {"mean": 0.590515673160553, "std": 1.5534089803695679}, "3": {"mean": -2.2691445350646973, "std": 1.495213270187378}, "4": {"mean": -1.618021... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.318112, -0.066528, 0.423259, 0.376526, 0.216659], [-0.536639, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6819314658641815, "train_acc": 0.5, "val_loss": 0.8148045539855957, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7029227316379547, "train_acc": 0.59, "val_loss": 0.7064231634140015, "val_a... |
3,512 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.8, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8384, "learning_rate": 0.06783240269... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.218748,
0.108852,
0.496314,
-0.454935... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.218748,
0.108852,
0.496314,
-0.454935... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.1773064136505127, "std": 1.7929924726486206}, "1": {"mean": -1.5166798830032349, "std": 1.658394455909729}, "2": {"mean": 1.3685604333877563, "std": 1.7795852422714233}, "3": {"mean": 0.3546574115753174, "std": 1.037966251373291}, "4": {"mean": 0.995976... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.218748, 0.108852, 0.496314, -0.454935, -0.671557], [-0.442864, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7052544355392456, "train_acc": 0.465, "val_loss": 0.6799588203430176, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839440166950226, "train_acc": 0.555, "val_loss": 0.6178404092788696, "v... |
3,513 | {"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.74, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3231, "learning_rate": 0.0797627053... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.226054,
0.037894,
-0.281708,
0.011923,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.226054,
0.037894,
-0.281708,
0.011923,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.813967227935791, "std": 0.8158926963806152}, "1": {"mean": 1.0955634117126465, "std": 2.062943935394287}, "2": {"mean": 1.9941658973693848, "std": 1.9876211881637573}, "3": {"mean": -3.406763792037964, "std": 2.2837347984313965}, "4": {"mean": -0.095870... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.226054, 0.037894, -0.281708, 0.011923, -0.033694], [0.603708, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6855058073997498, "train_acc": 0.495, "val_loss": 1.08774995803833, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7446451783180237, "train_acc": 0.575, "val_loss": 0.7049036622047424, "val... |
3,514 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9809, "learning_rate": 0.0304366526... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.10882,
-0.243132,
0.108871,
0.279955,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.10882,
-0.243132,
0.108871,
0.279955,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.3664097785949707, "std": 1.316849946975708}, "1": {"mean": 0.8363304138183594, "std": 1.0009753704071045}, "2": {"mean": -0.45119598507881165, "std": 1.2261382341384888}, "3": {"mean": 0.39560019969940186, "std": 1.3623067140579224}, "4": {"mean": -0.846... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.10882, -0.243132, 0.108871, 0.279955, 0.544749], [0.04247, -0.104... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911002993583679, "train_acc": 0.565, "val_loss": 0.6984421014785767, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681663304567337, "train_acc": 0.565, "val_loss": 0.6624177694320679, "val... |
3,515 | {"target_pattern": "alternating", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1417, "learning_rate": 0.09377879... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.206601,
0.111679,
-0.081197,
-0.162371... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.206601,
0.111679,
-0.081197,
-0.162371... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3758864402770996, "std": 0.7430426478385925}, "1": {"mean": -3.4914228916168213, "std": 2.335860252380371}, "2": {"mean": -2.8805582523345947, "std": 3.7207040786743164}, "3": {"mean": -1.1384358406066895, "std": 1.8336546421051025}, "4": {"mean": -2.688... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.206601, 0.111679, -0.081197, -0.162371, 0.261558], [-0.304995, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7069991827011108, "train_acc": 0.465, "val_loss": 0.6903930902481079, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6814138293266296, "train_acc": 0.555, "val_loss": 1.7616583108901978, "v... |
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