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adaptation_rate: 0.05 architectures:

  • DynamicNeuralNetwork complexity_metric: null desired_improvement_rate: 0.02 ecosystem_dynamics: environmental_volatility: 0.1 resource_pool: 1.0 embedding_dim: 768 growth_improvement_threshold: 0.01 hidden_dim: 2048 initial_neuron_count: 5000 innovative_growth_net: adaptation_rate: 0.05 complexity_metric: null initial_capacity: 250000 input_size: 2048 input_dimension: 768 low_stability_threshold: 0.01 max_complexity: 10000 max_neurons: 250000 max_sequence_length: 200 min_epochs_before_growth: 5 model_filename: dynamic_network.pth model_type: dynamic_neural_network num_embeddings: 25000 pruning_improvement_threshold: 0.005 some_adaptation_rate: 0.05 stability_threshold: 0.02 start_token_index: 2 transformers_version: "4.34.0"

license: apache-2.0

datasets:

  • vicgalle/alpaca-gpt4

language:

  • en

library_name: transformers

tags:

  • text-generation-inference

metrics: - accuracy