Merge branch 'master' of https://github.com/zen-gineer/Dr-Suess-LSTM

info_2018-10-22_11-31.txt

@@ -0,0 +1 @@
+[{'model': 'Embedding', 'input_dim': 2830, 'output_dim': 256, 'input_length': 50}, {'model': 'LSTM', 'units': 256, 'use_bias': True, 'dropout': 0.2, 'recurrent_dropout': 0, 'return_sequences': True}, {'model': 'Dense', 'units': 64, 'activation': 'relu'}, {'model': 'LSTM', 'units': 256, 'use_bias': True, 'dropout': 0.2, 'recurrent_dropout': 0, 'return_sequences': True}, {'model': 'Dense', 'units': 64, 'activation': 'relu'}, {'model': 'Flatten'}, {'model': 'Dense', 'units': 2830, 'activation': 'softmax'}]{'loss': [6.813, 6.3438, 6.0809, 5.668, 5.0674, 4.1888, 3.2263, 2.4416, 1.8358, 1.3483, 0.9936, 0.7174, 0.5278, 0.3948, 0.2838, 0.2132, 0.1515, 0.1078, 0.0862, 0.0653, 0.0591, 0.0499, 0.0395, 0.0275, 0.0271, 0.0293, 0.037, 0.0441, 0.0782, 0.1003, 0.0644, 0.0407, 0.0296, 0.0202, 0.0133, 0.0067, 0.0048, 0.0053, 0.005, 0.0076, 0.012, 0.0162, 0.0466, 0.1344, 0.1101, 0.06, 0.0288, 0.0118, 0.0063], 'acc': [0.0366, 0.0477, 0.0514, 0.0527, 0.0647, 0.1239, 0.1239, 0.4201, 0.5374, 0.6495, 0.7304, 0.7957, 0.8472, 0.8845, 0.9168, 0.9394, 0.9593, 0.9714, 0.9791, 0.9854, 0.9866, 0.99, 0.9918, 0.9948, 0.9946, 0.9945, 0.9913, 0.9897, 0.9782, 0.9701, 0.9821, 0.9881, 0.9925, 0.9952, 0.9975, 0.9991, 0.9997, 0.9996, 0.9996, 0.9987, 0.9984, 0.9962, 0.9854, 0.957, 0.9661, 0.9805, 0.9917, 0.9974, 0.9993], 'seq_length': 50, 'total_sequences': 16175, 'epochs':50, 'batch_size':128}

loss_history_2018-10-23_12-32.txt

@@ -0,0 +1 @@
+{'loss': [6.7007021255729, 5.962286518545018], 'acc': [0.03876352395476569, 0.05403400308923246]}

word_based.ipynb

@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -255,7 +255,7 @@
     "    #-- Fit model -- ---- --- --- --- ---- --- --- ---- --- --- --- --- --- --- --- --- \n",
     "    history_callback = modelFit(model, modelName, X, y, seq_length, batch_size, epochs, results_path)\n",
     "    loss_history = history_callback.history\n",
-    "    with open(results_path.rstrip('/').lstrip('/') + f'/{modelName}_loss_history.txt', 'w+') as f:\n",
+    "    with open(results_path.rstrip('/').lstrip('/') + f'/loss_history_{modelName}.txt', 'w+') as f:\n",
     "        f.write(str(loss_history))"
    ]
   },

word_based.py

@@ -165,7 +165,7 @@ def defineModel(vocab_size, seq_length, modelList, length, input_shape):
     return model, modelName
 
 
-# In[7]:
+# In[13]:
 
 
 def trainModelComplete(results_path):
@@ -235,7 +235,7 @@ def trainModelComplete(results_path):
     #-- Fit model -- ---- --- --- --- ---- --- --- ---- --- --- --- --- --- --- --- --- 
     history_callback = modelFit(model, modelName, X, y, seq_length, batch_size, epochs, results_path)
     loss_history = history_callback.history
-    with open(results_path.rstrip('/').lstrip('/') + f'/{modelName}_loss_history.txt', 'w+') as f:
+    with open(results_path.rstrip('/').lstrip('/') + f'/loss_history_{modelName}.txt', 'w+') as f:
         f.write(str(loss_history))