fix

Symb1OS · Jul 6, 2018 · 201ba37 · 201ba37
1 parent 419822b
commit 201ba37
Showing 1 changed file with 52 additions and 12 deletions.
diff --git a/notebook/Parse.ipynb b/notebook/Parse.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -239,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -284,31 +284,71 @@
        ")"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "model = Parser()\n",
+    "model = Parser().cuda()\n",
     "model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
     "criterion = nn.CrossEntropyLoss()\n",
-    "optimizer = torch.optim.Adam(model.parameters(), lr=1e-5, weight_decay=1e-5)"
+    "optimizer = torch.optim.Adam(model.parameters(), lr=1e-3, weight_decay=1e-5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/ipykernel_launcher.py:28: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n",
+      "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/ipykernel_launcher.py:26: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100 : 1200, Loss= 5.223594665527344, Acc:0.05000000000000001, TestAcc: 0.04406779661016943\n",
+      "200 : 1200, Loss= 3.02164363861084, Acc:0.179, TestAcc: 0.17415254237288164\n",
+      "300 : 1200, Loss= 2.3282227516174316, Acc:0.3800000000000001, TestAcc: 0.6326271186440676\n",
+      "400 : 1200, Loss= 3.2919750213623047, Acc:0.595, TestAcc: 0.7771186440677975\n",
+      "500 : 1200, Loss= 2.8729798793792725, Acc:0.696, TestAcc: 0.7504237288135599\n",
+      "600 : 1200, Loss= 2.440894603729248, Acc:0.7410000000000001, TestAcc: 0.7343220338983049\n",
+      "700 : 1200, Loss= 1.0605435371398926, Acc:0.7920000000000001, TestAcc: 0.8923728813559342\n",
+      "800 : 1200, Loss= 1.2861864566802979, Acc:0.8150000000000003, TestAcc: 0.8559322033898322\n",
+      "900 : 1200, Loss= 0.5938747525215149, Acc:0.8360000000000004, TestAcc: 0.9377118644067811\n",
+      "1000 : 1200, Loss= 0.3396875560283661, Acc:0.8459999999999998, TestAcc: 0.9038135593220359\n",
+      "1100 : 1200, Loss= 0.27643871307373047, Acc:0.8549999999999999, TestAcc: 0.8525423728813579\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/ipykernel_launcher.py:33: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch: 0,  Loss:2.255427360534668, Acc:0.637499999999996, TestAcc: 0.9559322033898316\n"
+     ]
+    }
+   ],
    "source": [
     "model.train()\n",
     "\n",