初始化项目，由ModelHub XC社区提供模型

Model: mnoukhov/pythia410m-sft-tldr
Source: Original Platform

code/results/notebook.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64cea749",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "from haven import haven_jupyter as hj\n",
+    "from haven import haven_results as hr\n",
+    "from haven import haven_utils as hu\n",
+    "\n",
+    "# path to where the experiments got saved\n",
+    "savedir_base = '/home/toolkit/trl/results'\n",
+    "exp_list = None\n",
+    "\n",
+    "# get experiments from the exp config\n",
+    "exp_config_fname = None\n",
+    "if exp_config_fname:\n",
+    "    config = hu.load_py(exp_config_fname)\n",
+    "    exp_list = []\n",
+    "    for exp_group in [\n",
+    "        \"example\"\n",
+    "                    ]:\n",
+    "        exp_list += config.EXP_GROUPS[exp_group]\n",
+    "\n",
+    "# filter exps\n",
+    "\n",
+    "filterby_list = None\n",
+    "# filterby_list =[{'dataset':'mnist'}]\n",
+    "\n",
+    "# get experiments\n",
+    "rm = hr.ResultManager(exp_list=exp_list,\n",
+    "                      savedir_base=savedir_base,\n",
+    "                      filterby_list=filterby_list,\n",
+    "                      verbose=0,\n",
+    "                      exp_groups=None,\n",
+    "                      job_scheduler='slurm'\n",
+    "                     )\n",
+    "\n",
+    "# specify display parameters\n",
+    "\n",
+    "# groupby_list = ['dataset']\n",
+    "# title_list = ['dataset']\n",
+    "# legend_list = ['model']\n",
+    "y_metrics = ['train_loss']\n",
+    "x_metric = 'epoch'\n",
+    "\n",
+    "# launch dashboard\n",
+    "hj.get_dashboard(rm, vars(), wide_display=False, enable_datatables=False)\n",
+    "          "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94dd14d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# get table \n",
+    "rm.get_score_df().head()\n",
+    "\n",
+    "# get latex \n",
+    "# print(rm.get_latex_table(legend=['dataset'], metrics=['train_loss'], decimals=1, caption=\"Results\", label='tab:results'))\n",
+    "\n",
+    "# get custom plots\n",
+    "fig = rm.get_plot_all(\n",
+    "                # order='metrics_by_groups',\n",
+    "                # avg_across='runs',\n",
+    "                y_metric_list=y_metrics, \n",
+    "                x_metric=x_metric,\n",
+    "                # legend_fontsize=18,\n",
+    "                # x_fontsize=20,\n",
+    "                # y_fontsize=20,\n",
+    "                # xtick_fontsize=20,\n",
+    "                # ytick_fontsize=20,\n",
+    "                # title_fontsize=24,\n",
+    "                # legend_list=['model], \n",
+    "                # title_list = ['dataset'], \n",
+    "                # title_format='Dataset:{}',\n",
+    "                # log_metric_list = ['train_loss'], \n",
+    "                # groupby_list = ['dataset'],\n",
+    "                # map_ylabel_list=[{'train_loss':'Train loss'}],\n",
+    "                # map_xlabel_list=[{'epoch':'Epoch'}],\n",
+    "                # figsize=(15,5),\n",
+    "                # plot_confidence=False,\n",
+    "                # savedir_plots='%s' % (name)\n",
+    ")\n",
+    "          "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6068885d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "    !pip install --upgrade git+https://github.com/haven-ai/haven-ai\n",
+    "          "
+   ]
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

code/results/runs/May07_00-55-12_51ad4548-a7bf-4560-b808-423e05302afb/events.out.tfevents.1715043315.51ad4548-a7bf-4560-b808-423e05302afb.66005.0

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