From ab0cfcecc47715698039aec5ce24a4ad0c900460 Mon Sep 17 00:00:00 2001
From: Sean Shi <sean.shi@scale.com>
Date: Tue, 18 Jul 2023 17:46:17 -0700
Subject: [PATCH 1/2] make code changes

---
 docs/examples/finetuning.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/examples/finetuning.ipynb b/docs/examples/finetuning.ipynb
index 5f8a436d..819b85fa 100644
--- a/docs/examples/finetuning.ipynb
+++ b/docs/examples/finetuning.ipynb
@@ -304,7 +304,7 @@
    "outputs": [],
    "source": [
     "create_fine_tune_response = FineTune.create(\n",
-    "    model=\"llama-7b\",\n",
+    "    model=\"llama-2-7b\",\n",
     "    training_file=\"https://scale-demo-datasets.s3.us-west-2.amazonaws.com/sports/sports_training_dataset.csv\",\n",
     "    validation_file=None,\n",
     "    hyperparameters={\"epochs\": \"1\", \"lr\": \"0.0002\"},\n",
@@ -355,7 +355,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "your_fine_tuned_model = \"llama-7b.my-first-finetune.2023-07-18-20-28-50\"  # Note: you will have a different model!"
+    "your_fine_tuned_model = \"llama-2-7b.my-first-finetune.2023-07-18-20-28-50\"  # Note: you will have a different model!"
    ]
   },
   {

From fb1290853dc848615b99277075276f8d286da3cd Mon Sep 17 00:00:00 2001
From: Sean Shi <sean.shi@scale.com>
Date: Tue, 18 Jul 2023 18:20:26 -0700
Subject: [PATCH 2/2] update cookbook with numbers

---
 docs/examples/finetuning.ipynb | 48 ++++++++++++++++++++++------------
 1 file changed, 32 insertions(+), 16 deletions(-)

diff --git a/docs/examples/finetuning.ipynb b/docs/examples/finetuning.ipynb
index 819b85fa..16573392 100644
--- a/docs/examples/finetuning.ipynb
+++ b/docs/examples/finetuning.ipynb
@@ -299,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -316,9 +316,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "BatchJobStatus.RUNNING\n"
+     ]
+    }
+   ],
    "source": [
     "# Wait for fine tune to complete\n",
     "\n",
@@ -351,11 +359,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
-    "your_fine_tuned_model = \"llama-2-7b.my-first-finetune.2023-07-18-20-28-50\"  # Note: you will have a different model!"
+    "your_fine_tuned_model = \"llama-2-7b.my-first-fine-tune.2023-07-19-00-48-07\"  # Note: you will have a different model!"
    ]
   },
   {
@@ -374,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -412,7 +420,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -492,7 +500,7 @@
        "954             hockey  "
       ]
      },
-     "execution_count": 13,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,16 +511,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1.0"
+       "0.98"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -524,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -554,17 +562,25 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>974</th>\n",
+       "      <td>From: maX &lt;maX@maxim.rinaco.msk.su&gt;\\nSubject: ...</td>\n",
+       "      <td>hockey</td>\n",
+       "      <td>baseball</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [raw_prompt, response, predicted_response]\n",
-       "Index: []"
+       "                                            raw_prompt response  \\\n",
+       "974  From: maX <maX@maxim.rinaco.msk.su>\\nSubject: ...   hockey   \n",
+       "\n",
+       "    predicted_response  \n",
+       "974           baseball  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }