annotated_deep_learning_paper_implementations/labml_nn/lora/experiment.ipynb

{
 "cells": [
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "!pip install labml-nn",
   "id": "c5ed37230628ee76"
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": [
    "from labml_nn.lora.experiment import Trainer\n",
    "from labml import experiment"
   ],
   "id": "1b9da2e59ffce5d5",
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true
   },
   "source": "experiment.create(name=\"lora_gpt2\")",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": "trainer = Trainer()",
   "id": "31c9bc08eca2592",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": "experiment.configs(trainer)",
   "id": "fb6ce74326558948",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": "trainer.initialize()",
   "id": "1456cfab47dee3b",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": [
    "with experiment.start():\n",
    "    trainer.run()"
   ],
   "id": "3fe4068fd2df9094",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": "",
   "id": "d3c3c723ebbe854a",
   "outputs": [],
   "execution_count": null
  }
 ],
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   "name": "ml"
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