Use UTF-8 for ChatGPT encoding

chatgpt-test-8192.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:00e4d4fa140de6063c5e50e09650ea97c03b7bc4dbdbbac4b7936ea156ab2e08
-size 206716
+oid sha256:bc5154242c5b2f0cee22b6c51f616872caf841484d4d065803ac81bf1144ce98
+size 228619

chatgpt-train-8192.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2823ecd0037645295e54ab13ee67e5c69ac313bad291bfdbb5cc34a479c20be9
-size 959800
+oid sha256:3112bcdb43fa7ba4ec8c7cd43e0be6d02bc1bfef6d5925c440bc85b3ab6e2966
+size 937891

combined-8192.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:44fa5866835ba87097521e8102fd215f6f711dc63045550056829ba859281ae6
-size 1166513
+oid sha256:eff7831baad2e2d1876bcedca85954c5f5a66cdd3772c3509f2c8b93efe52478
+size 1166510

generate_chatgpt_varlen.py

@@ -80,7 +80,7 @@ def new_message(eng_in, chs_out, prev_in = None, prev_out = None):
 
 def write_jsonl(message_groups, filename):
     json_lines = []
-    with open(filename, "w", encoding='utf-8-sig') as fout:
+    with open(filename, "w", encoding='utf-8') as fout:
         for i in range(len(message_groups)):
             if(i>0):
                 msg_obj = new_message(
@@ -165,11 +165,11 @@ if __name__ == "__main__":
     test = jsonl_lines[:split_index]
     train = jsonl_lines[split_index:]
 
-    with open (f"chatgpt-train-{args.maxlen}.jsonl", "w", encoding='utf-8-sig') as fout:
+    with open (f"chatgpt-train-{args.maxlen}.jsonl", "w", encoding='utf-8') as fout:
         for line in train:
             fout.write(line + "\n")
 
-    with open (f"chatgpt-test-{args.maxlen}.jsonl", "w", encoding='utf-8-sig') as fout:
+    with open (f"chatgpt-test-{args.maxlen}.jsonl", "w", encoding='utf-8') as fout:
         for line in test:
             fout.write(line + "\n")
 

train_chatgpt.ipynb

@@ -0,0 +1,108 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openai\n",
+    "from openai import OpenAI\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "client = OpenAI(api_key=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "BASE_MODEL = \"gpt-4o-2024-08-06\"\n",
+    "\n",
+    "INPUT_TRAIN = \"chatgpt-train-8192.jsonl\"\n",
+    "INPUT_TEST = \"chatgpt-test-8192.jsonl\"\n",
+    "\n",
+    "assert os.path.isfile(INPUT_TEST)\n",
+    "assert os.path.isfile(INPUT_TRAIN)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_file = client.files.create(\n",
+    "  file=open(INPUT_TRAIN, \"rb\"),\n",
+    "  purpose=\"fine-tune\"\n",
+    ")\n",
+    "\n",
+    "test_file = client.files.create(\n",
+    "  file=open(INPUT_TEST, \"rb\"),\n",
+    "  purpose=\"fine-tune\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "FineTuningJob(id='ftjob-gmBbrQUbH7ebPO9eapimGI0T', created_at=1728612535, error=Error(code=None, message=None, param=None), fine_tuned_model=None, finished_at=None, hyperparameters=Hyperparameters(n_epochs='auto', batch_size='auto', learning_rate_multiplier='auto'), model='gpt-4o-2024-08-06', object='fine_tuning.job', organization_id='org-uw3iag65cO1uuHFelRfNqH99', result_files=[], seed=2060928557, status='validating_files', trained_tokens=None, training_file='file-BO3hthNeSTuawThRSDeDUTxh', validation_file='file-4C0xDKTAfiL8EqqMIMfYQLde', estimated_finish=None, integrations=[], user_provided_suffix=None)"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "client.fine_tuning.jobs.create(\n",
+    "  training_file=train_file.id,\n",
+    "  validation_file=test_file.id,\n",
+    "  model=BASE_MODEL\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "metricsubs-chunktranslate",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}