---
model: medium.rnn
precision: f64
topology:
elapsed_ms: 30003
iterations: 2809
train_samples: 11236
train_samples_per_cycle: 4
element_size_bytes: 8
avg_loss: 0.04607686
last_loss: 0.040163413
min_loss: 0.040163413
max_loss: 0.04607686
loss_stddev: 0.0029567238
output_bytes: 1884668
total_params: 230144
layer_count: 3
input_dim: 256
output_dim: 128
benchmark_flags: 0
weights_bytes: 1835008
biases_bytes: 6144
iterations_per_sec: 93.62152
samples_per_sec: 374.48608