Fix finetuning example

examples/azure/finetuning.ipynb

@@ -37,7 +37,7 @@
     "openai.api_base = '' # Please add your endpoint here\n",
     "\n",
     "openai.api_type = 'azure'\n",
-    "openai.api_version = '2022-03-01-preview' # this may change in the future"
+    "openai.api_version = '2022-12-01'"
    ]
   },
   {
@@ -89,9 +89,9 @@
     "training_file_name = 'training.jsonl'\n",
     "validation_file_name = 'validation.jsonl'\n",
     "\n",
-    "sample_data = [{\"prompt\": \"When I go to the store, I want an\", \"completion\": \"apple\"},\n",
-    "    {\"prompt\": \"When I go to work, I want a\", \"completion\": \"coffe\"},\n",
-    "    {\"prompt\": \"When I go home, I want a\", \"completion\": \"soda\"}]\n",
+    "sample_data = [{\"prompt\": \"When I go to the store, I want an\", \"completion\": \"apple.\"},\n",
+    "    {\"prompt\": \"When I go to work, I want a\", \"completion\": \"coffee.\"},\n",
+    "    {\"prompt\": \"When I go home, I want a\", \"completion\": \"soda.\"}]\n",
     "\n",
     "print(f'Generating the training file: {training_file_name}')\n",
     "with open(training_file_name, 'w') as training_file:\n",
@@ -141,7 +141,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "print(f'Deleting already uploaded files.')\n",
+    "print(f'Deleting already uploaded files...')\n",
     "for id in results:\n",
     "    openai.File.delete(sid = id)\n"
    ]
@@ -197,7 +197,7 @@
    "source": [
     "print(f'Downloading training file: {training_id}')\n",
     "result = openai.File.download(training_id)\n",
-    "print(result)"
+    "print(result.decode('utf-8'))"
    ]
   },
   {
@@ -225,9 +225,12 @@
     "create_args = {\n",
     "    \"training_file\": training_id,\n",
     "    \"validation_file\": validation_id,\n",
-    "    \"model\": \"curie\",\n",
+    "    \"model\": \"babbage\",\n",
     "    \"compute_classification_metrics\": True,\n",
-    "    \"classification_n_classes\": 3\n",
+    "    \"classification_n_classes\": 3,\n",
+    "    \"n_epochs\": 20,\n",
+    "    \"batch_size\": 3,\n",
+    "    \"learning_rate_multiplier\": 0.3\n",
     "}\n",
     "resp = openai.FineTune.create(**create_args)\n",
     "job_id = resp[\"id\"]\n",
@@ -258,7 +261,7 @@
     "    print(f\"Stream interrupted. Job is still {status}.\")\n",
     "    return\n",
     "\n",
-    "print('Streaming events for the fine-tuning job: {job_id}')\n",
+    "print(f'Streaming events for the fine-tuning job: {job_id}')\n",
     "signal.signal(signal.SIGINT, signal_handler)\n",
     "\n",
     "events = openai.FineTune.stream_events(job_id)\n",
@@ -296,7 +299,7 @@
     "\n",
     "print('Checking other finetune jobs in the subscription.')\n",
     "result = openai.FineTune.list()\n",
-    "print(f'Found {len(result)} finetune jobs.')"
+    "print(f'Found {len(result.data)} finetune jobs.')"
    ]
   },
   {
@@ -413,10 +416,10 @@
    "outputs": [],
    "source": [
     "print('Sending a test completion job')\n",
-    "start_phrase = 'When I go to the store, I want a'\n",
-    "response = openai.Completion.create(deployment_id=deployment_id, prompt=start_phrase, max_tokens=4)\n",
+    "start_phrase = 'When I go home, I want a'\n",
+    "response = openai.Completion.create(deployment_id=deployment_id, prompt=start_phrase, temperature=0, stop=\".\")\n",
     "text = response['choices'][0]['text'].replace('\\n', '').replace(' .', '.').strip()\n",
-    "print(f'\"{start_phrase} {text}\"')\n"
+    "print(f'\"{start_phrase} {text}.\"')"
    ]
   },
   {