refine similariy

Author: ZiyiXia

Tutorials/2_Similarity/similarity.ipynb

@@ -187,7 +187,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "tensor([[3., 2., 3., 6.]]) tensor([[2., 4., 4., 1.]])\n"
+      "tensor([[5., 2., 2., 6.]]) tensor([[4., 6., 6., 4.]])\n"
      ]
     }
    ],
@@ -239,7 +239,7 @@
     {
      "data": {
       "text/plain": [
-       "5.5677642822265625"
+       "6.082762718200684"
       ]
      },
      "execution_count": 6,
@@ -273,7 +273,7 @@
     {
      "data": {
       "text/plain": [
-       "5.5677642822265625"
+       "6.082762718200684"
       ]
      },
      "execution_count": 7,
@@ -382,7 +382,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.6907725930213928\n"
+      "0.802726686000824\n"
      ]
     }
    ],
@@ -439,7 +439,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.6907725930213928\n"
+      "0.802726686000824\n"
      ]
     }
    ],
@@ -487,7 +487,7 @@
     {
      "data": {
       "text/plain": [
-       "0.6907725930213928"
+       "0.802726686000824"
       ]
      },
      "execution_count": 11,
@@ -530,7 +530,7 @@
     {
      "data": {
       "text/plain": [
-       "32.0"
+       "68.0"
       ]
      },
      "execution_count": 12,
@@ -563,31 +563,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 14,
    "id": "e0f40534",
    "metadata": {},
    "outputs": [],
    "source": [
     "from FlagEmbedding import FlagModel\n",
     "\n",
-    "model = FlagModel('BAAI/bge-base-en-v1.5',\n",
+    "model = FlagModel('BAAI/bge-large-en-v1.5',\n",
     "                  query_instruction_for_retrieval=\"Represent this sentence for searching relevant passages:\",\n",
     "                  use_fp16=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "id": "78445a86",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.9999999403953552"
+       "1.0"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -616,7 +616,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 16,
    "id": "73012cbb",
    "metadata": {},
    "outputs": [],
@@ -648,7 +648,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 17,
    "id": "98bfcc6d",
    "metadata": {},
    "outputs": [
@@ -684,15 +684,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 18,
    "id": "426c0b42",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "torch.Size([1, 768])\n"
+      "torch.Size([1, 1024])\n"
      ]
     }
    ],
@@ -715,16 +715,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "id": "d9bb35cf",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.49946388602256775\n",
-      "0.6032702922821045\n"
+      "0.714613139629364\n",
+      "0.5931472182273865\n"
      ]
     }
    ],
@@ -745,16 +745,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 20,
    "id": "29e70bbc",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.8752679824829102\n",
-      "0.8180326223373413\n"
+      "0.7446640729904175\n",
+      "0.8240882158279419\n"
      ]
     }
    ],