gpt2 finetuning

.gitignore

@@ -9,4 +9,6 @@
 
 dev-0/in.tsv
 test-A/in.tsv
-train/in.tsv
+train/in.tsv
+
+gpt2-parsed.csv

gonito.yaml

@@ -1,7 +1,9 @@
-description: trigram nn
+description: gpt2 finetuning
 tags:
   - neural-network
-  - trigram
+  - gpt2
+params:
+  top: 50
 unwanted-params:
   - model-file
   - vocab-file

parser.ipynb

@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import lzma\n",
+    "\n",
+    "f = lzma.open('train/in.tsv.xz', mode='rt', encoding='utf-8')\n",
+    "e = open('train/expected.tsv', 'r', encoding='utf-8')\n",
+    "\n",
+    "with open('train/gpt2-parsed.csv', 'w', encoding='utf-8') as file:\n",
+    "    file.write(\"text\\n\")\n",
+    "    for line, expected in zip(f, e):\n",
+    "        separated = line.split('\\t')\n",
+    "        first_part = separated[6][-100:].replace('\\n', ' ')\n",
+    "        second_part = separated[7][:50].replace('\\n', ' ')\n",
+    "        expected = expected.replace('\\n', '')\n",
+    "\n",
+    "        first_part = first_part.replace('\"', '')\n",
+    "        second_part = second_part.replace('\"', '')\n",
+    "        expected = expected.replace('\"', '')\n",
+    "\n",
+    "        first_part = first_part.replace(r'\\n', ' ')\n",
+    "        second_part = second_part.replace(r'\\n', ' ')\n",
+    "        expected = expected.replace(r'\\n', '')\n",
+    "\n",
+    "        file.write('\"' + first_part + \" \" + expected + \" \" + second_part + '\"\\n')\n",
+    "\n",
+    "f.close()\n",
+    "e.close()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "modelowanie",
+   "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": "3.10.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}