diff --git "a/novel-translation/05_tune-small-with-flash-attn.ipynb" "b/novel-translation/05_tune-small-with-flash-attn.ipynb"
new file mode 100644--- /dev/null
+++ "b/novel-translation/05_tune-small-with-flash-attn.ipynb"
@@ -0,0 +1,4665 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "0ea8b46b-839b-445b-8043-ccdf4e920ace",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "6d394937-6c99-4a7c-9d32-7600a280032f",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "workding dir: /home/inflaton/code/projects/courses/novel-translation\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "from pathlib import Path\n",
+    "\n",
+    "workding_dir = str(Path.cwd().parent)\n",
+    "os.chdir(workding_dir)\n",
+    "sys.path.append(workding_dir)\n",
+    "print(\"workding dir:\", workding_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "9f67ec60-2f24-411c-84eb-0dd664b44775",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "loading env vars from: /home/inflaton/code/projects/courses/novel-translation/.env\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from dotenv import find_dotenv, load_dotenv\n",
+    "\n",
+    "found_dotenv = find_dotenv(\".env\")\n",
+    "\n",
+    "if len(found_dotenv) == 0:\n",
+    "    found_dotenv = find_dotenv(\".env.example\")\n",
+    "print(f\"loading env vars from: {found_dotenv}\")\n",
+    "load_dotenv(found_dotenv, override=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "f1597656-8042-4878-9d3b-9ebfb8dd86dc",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('unsloth/Qwen2-0.5B-Instruct-bnb-4bit',\n",
+       " True,\n",
+       " None,\n",
+       " None,\n",
+       " 2048,\n",
+       " 10,\n",
+       " None,\n",
+       " 'datasets/mac/mac.tsv',\n",
+       " 'results/mac-results_v3.csv')"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "model_name = os.getenv(\"MODEL_NAME\")\n",
+    "token = os.getenv(\"HF_TOKEN\") or None\n",
+    "load_in_4bit = os.getenv(\"LOAD_IN_4BIT\") == \"true\"\n",
+    "local_model = os.getenv(\"LOCAL_MODEL\")\n",
+    "hub_model = os.getenv(\"HUB_MODEL\")\n",
+    "num_train_epochs = int(os.getenv(\"NUM_TRAIN_EPOCHS\") or 0)\n",
+    "data_path = os.getenv(\"DATA_PATH\")\n",
+    "results_path = os.getenv(\"RESULTS_PATH\")\n",
+    "\n",
+    "max_seq_length = 2048  # Choose any! We auto support RoPE Scaling internally!\n",
+    "dtype = (\n",
+    "    None  # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n",
+    ")\n",
+    "\n",
+    "model_name, load_in_4bit, local_model, hub_model, max_seq_length, num_train_epochs, dtype, data_path, results_path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sun Jun 23 12:46:16 2024       \n",
+      "+---------------------------------------------------------------------------------------+\n",
+      "| NVIDIA-SMI 545.23.07              Driver Version: 546.12       CUDA Version: 12.3     |\n",
+      "|-----------------------------------------+----------------------+----------------------+\n",
+      "| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
+      "| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |\n",
+      "|                                         |                      |               MIG M. |\n",
+      "|=========================================+======================+======================|\n",
+      "|   0  NVIDIA GeForce RTX 4080 ...    On  | 00000000:01:00.0  On |                  N/A |\n",
+      "| N/A   53C    P8               5W / 150W |    452MiB / 12282MiB |     11%      Default |\n",
+      "|                                         |                      |                  N/A |\n",
+      "+-----------------------------------------+----------------------+----------------------+\n",
+      "                                                                                         \n",
+      "+---------------------------------------------------------------------------------------+\n",
+      "| Processes:                                                                            |\n",
+      "|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |\n",
+      "|        ID   ID                                                             Usage      |\n",
+      "|=======================================================================================|\n",
+      "|  No running processes found                                                           |\n",
+      "+---------------------------------------------------------------------------------------+\n"
+     ]
+    }
+   ],
+   "source": [
+    "!nvidia-smi"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 3 μs, sys: 1 μs, total: 4 μs\n",
+      "Wall time: 6.91 μs\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "# !pip install flash-attn --no-build-isolation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Name: flash-attn\n",
+      "Version: 2.5.9.post1\n",
+      "Summary: Flash Attention: Fast and Memory-Efficient Exact Attention\n",
+      "Home-page: https://github.com/Dao-AILab/flash-attention\n",
+      "Author: Tri Dao\n",
+      "Author-email: trid@cs.stanford.edu\n",
+      "License: \n",
+      "Location: /home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages\n",
+      "Requires: einops, torch\n",
+      "Required-by: \n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip show flash-attn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Current Directory:\n",
+      "/home/inflaton/code/projects/courses/novel-translation\n",
+      "Tuning unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+      "[nltk_data] Downloading package wordnet to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package wordnet is already up-to-date!\n",
+      "[nltk_data] Downloading package punkt to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "[nltk_data] Downloading package omw-1.4 to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package omw-1.4 is already up-to-date!\n",
+      "loading /home/inflaton/code/projects/courses/novel-translation/translation_engine_v3.py\n",
+      "loading env vars from: /home/inflaton/code/projects/courses/novel-translation/.env\n",
+      "unsloth/Qwen2-0.5B-Instruct-bnb-4bit True 2048 10 None datasets/mac/mac.tsv results/mac-results_v3.csv True True True\n",
+      "(1) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.0 GB of memory reserved.\n",
+      "loading model: unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
+      "==((====))==  Unsloth: Fast Qwen2 patching release 2024.6\n",
+      "   \\\\   /|    GPU: NVIDIA GeForce RTX 4080 Laptop GPU. Max memory: 11.994 GB. Platform = Linux.\n",
+      "O^O/ \\_/ \\    Pytorch: 2.3.0. CUDA = 8.9. CUDA Toolkit = 12.1.\n",
+      "\\        /    Bfloat16 = TRUE. Xformers = 0.0.26.post1. FA = True.\n",
+      " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "(2) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.633 GB of memory reserved.\n",
+      "loading train/test data files\n",
+      "DatasetDict({\n",
+      "    train: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 4528\n",
+      "    })\n",
+      "    test: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 1133\n",
+      "    })\n",
+      "})\n",
+      "Evaluating base model: unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Teng raised his gun, closing his eyes and gripping a triangular eye. A boom of bullets rang out as he fired one, like thunder crashing down. The hammering sound of steel stones echoed through the branches of the trees. \n",
+      "\n",
+      "The noise was so loud that it made my heart beat faster.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Teng raised his gun, closing his eyes and gripping a triangular eye. A boom of bullets rang out as he fired one, like thunder crashing down. The hammering sound of steel stones echoed through the branches of the trees. \n",
+      "\n",
+      "The noise was so loud that it made my heart beat faster.\n",
+      "--------\n",
+      "step 3: Old Teng raised his gun, closing his eyes and gripping a triangular eye. A boom of bullets rang out as he fired one, like thunder crashing down. The hammering sound of steel stones echoed through the branches of the trees. \n",
+      "\n",
+      "The noise was so loud that it made my heart beat faster.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:06:42<00:00,  3.53s/it]\n",
+      "                                             chinese  ...               unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Teng raised his gun, closing his eyes and ...\n",
+      "\n",
+      "[1 rows x 3 columns]\n",
+      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "3.023 GB of memory reserved.\n",
+      "Unsloth 2024.6 patched 24 layers with 0 QKV layers, 24 O layers and 24 MLP layers.\n",
+      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "3.023 GB of memory reserved.\n",
+      "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
+      "   \\\\   /|    Num examples = 4,528 | Num Epochs = 10\n",
+      "O^O/ \\_/ \\    Batch size per device = 2 | Gradient Accumulation steps = 4\n",
+      "\\        /    Total batch size = 8 | Total steps = 5,660\n",
+      " \"-____-\"     Number of trainable parameters = 8,798,208\n",
+      "{'loss': 1.9401, 'grad_norm': 0.9639493823051453, 'learning_rate': 0.00019664014146772768, 'epoch': 0.18}\n",
+      "{'loss': 1.7762, 'grad_norm': 0.8060959577560425, 'learning_rate': 0.0001931034482758621, 'epoch': 0.35}\n",
+      "{'loss': 1.7146, 'grad_norm': 0.9296559691429138, 'learning_rate': 0.00018956675508399648, 'epoch': 0.53}\n",
+      "{'loss': 1.7155, 'grad_norm': 0.7544056177139282, 'learning_rate': 0.00018603006189213086, 'epoch': 0.71}\n",
+      "{'loss': 1.6861, 'grad_norm': 0.8301573395729065, 'learning_rate': 0.00018249336870026527, 'epoch': 0.88}\n",
+      "{'loss': 1.6078, 'grad_norm': 0.8045125007629395, 'learning_rate': 0.00017895667550839965, 'epoch': 1.06}\n",
+      "{'loss': 1.4921, 'grad_norm': 0.9031914472579956, 'learning_rate': 0.00017541998231653406, 'epoch': 1.24}\n",
+      "{'loss': 1.5401, 'grad_norm': 0.9808986186981201, 'learning_rate': 0.00017188328912466844, 'epoch': 1.41}\n",
+      "{'loss': 1.4721, 'grad_norm': 1.0783536434173584, 'learning_rate': 0.00016834659593280285, 'epoch': 1.59}\n",
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+      "{'loss': 0.422, 'grad_norm': 1.6875197887420654, 'learning_rate': 6.578249336870027e-05, 'epoch': 6.71}\n",
+      "{'loss': 0.4284, 'grad_norm': 1.5689966678619385, 'learning_rate': 6.224580017683466e-05, 'epoch': 6.89}\n",
+      "{'loss': 0.3869, 'grad_norm': 1.6680887937545776, 'learning_rate': 5.870910698496905e-05, 'epoch': 7.07}\n",
+      "{'loss': 0.2934, 'grad_norm': 1.7025184631347656, 'learning_rate': 5.517241379310345e-05, 'epoch': 7.24}\n",
+      "{'loss': 0.3139, 'grad_norm': 1.5031529664993286, 'learning_rate': 5.163572060123785e-05, 'epoch': 7.42}\n",
+      "{'loss': 0.3133, 'grad_norm': 1.9866334199905396, 'learning_rate': 4.809902740937224e-05, 'epoch': 7.6}\n",
+      "{'loss': 0.306, 'grad_norm': 2.1866486072540283, 'learning_rate': 4.4562334217506634e-05, 'epoch': 7.77}\n",
+      "{'loss': 0.3183, 'grad_norm': 1.4326164722442627, 'learning_rate': 4.1025641025641023e-05, 'epoch': 7.95}\n",
+      "{'loss': 0.2477, 'grad_norm': 1.3497223854064941, 'learning_rate': 3.7488947833775426e-05, 'epoch': 8.13}\n",
+      "{'loss': 0.2262, 'grad_norm': 1.6162991523742676, 'learning_rate': 3.3952254641909815e-05, 'epoch': 8.3}\n",
+      "{'loss': 0.2302, 'grad_norm': 1.0059006214141846, 'learning_rate': 3.041556145004421e-05, 'epoch': 8.48}\n",
+      "{'loss': 0.236, 'grad_norm': 1.3581494092941284, 'learning_rate': 2.6878868258178604e-05, 'epoch': 8.66}\n",
+      "{'loss': 0.2366, 'grad_norm': 1.891054391860962, 'learning_rate': 2.3342175066313e-05, 'epoch': 8.83}\n",
+      "{'loss': 0.238, 'grad_norm': 1.0669790506362915, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
+      "{'loss': 0.1814, 'grad_norm': 1.2125357389450073, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n",
+      "{'loss': 0.1897, 'grad_norm': 1.044737696647644, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
+      "{'loss': 0.1873, 'grad_norm': 1.1148860454559326, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
+      "{'loss': 0.189, 'grad_norm': 1.8938679695129395, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
+      "{'loss': 0.1892, 'grad_norm': 1.0202747583389282, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
+      "{'train_runtime': 13804.2064, 'train_samples_per_second': 3.28, 'train_steps_per_second': 0.41, 'train_loss': 0.7992495260474539, 'epoch': 10.0}\n",
+      "100%|█████████████████████████████████████| 5660/5660 [3:50:04<00:00,  2.44s/it]\n",
+      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "13804.2064 seconds used for training.\n",
+      "230.07 minutes used for training.\n",
+      "Peak reserved memory = 3.023 GB.\n",
+      "Peak reserved memory for training = 0.0 GB.\n",
+      "Peak reserved memory % of max memory = 25.204 %.\n",
+      "Peak reserved memory for training % of max memory = 0.0 %.\n",
+      "Evaluating fine-tuned model: unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geng raised his rifle, squinted his triangular eye, and fired – a gun, like a ladle, crackled as the shot fell down towards him.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geng raised his rifle, squinted his triangular eye, and fired – a gun, like a ladle, crackled as the shot fell down towards him.\n",
+      "--------\n",
+      "step 3: Old Geng raised his rifle, squinted his triangular eye, and fired – a gun, like a ladle, crackled as the shot fell down towards him.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:39:47<00:00,  5.28s/it]\n",
+      "                                             chinese  ...    unsloth/Qwen2-0.5B-Instruct-bnb-4bit(finetuned)\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，���雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geng raised his rifle, squinted his triang...\n",
+      "\n",
+      "[1 rows x 4 columns]\n",
+      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "3.023 GB of memory reserved.\n",
+      "README.md: 100%|███████████████████████████████| 593/593 [00:00<00:00, 3.39MB/s]\n",
+      "model.safetensors: 100%|█████████████████████| 493M/493M [00:41<00:00, 11.9MB/s]\n",
+      "Saved model to https://huggingface.co/Qwen2-0.5B-Instruct-bnb-4bit-MAC-lora\n",
+      "README.md: 100%|███████████████████████████████| 599/599 [00:00<00:00, 2.91MB/s]\n",
+      "Unsloth: Saving tokenizer... Done.\n",
+      "Unsloth: Saving model... Done.\n",
+      "Unsloth: Saving LoRA adapters. Please wait...\n",
+      "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-667805f5-6581fe263332f4220001e82f;27494d10-63ec-4751-8bd3-059f4a0c16c7)\n",
+      "\n",
+      "Invalid username or password.\n",
+      "Tuning unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n",
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+      "[nltk_data] Downloading package wordnet to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package wordnet is already up-to-date!\n",
+      "[nltk_data] Downloading package punkt to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "[nltk_data] Downloading package omw-1.4 to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package omw-1.4 is already up-to-date!\n",
+      "loading /home/inflaton/code/projects/courses/novel-translation/translation_engine_v3.py\n",
+      "loading env vars from: /home/inflaton/code/projects/courses/novel-translation/.env\n",
+      "unsloth/Qwen2-1.5B-Instruct-bnb-4bit True 2048 10 None datasets/mac/mac.tsv results/mac-results_v3.csv True True True\n",
+      "(1) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.0 GB of memory reserved.\n",
+      "loading model: unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n",
+      "==((====))==  Unsloth: Fast Qwen2 patching release 2024.6\n",
+      "   \\\\   /|    GPU: NVIDIA GeForce RTX 4080 Laptop GPU. Max memory: 11.994 GB. Platform = Linux.\n",
+      "O^O/ \\_/ \\    Pytorch: 2.3.0. CUDA = 8.9. CUDA Toolkit = 12.1.\n",
+      "\\        /    Bfloat16 = TRUE. Xformers = 0.0.26.post1. FA = True.\n",
+      " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "(2) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "1.516 GB of memory reserved.\n",
+      "loading train/test data files\n",
+      "Map: 100%|█████████████████████████| 4528/4528 [00:00<00:00, 6537.59 examples/s]\n",
+      "Map: 100%|█████████████████████████| 1133/1133 [00:00<00:00, 7281.32 examples/s]\n",
+      "DatasetDict({\n",
+      "    train: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 4528\n",
+      "    })\n",
+      "    test: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 1133\n",
+      "    })\n",
+      "})\n",
+      "Evaluating base model: unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geer lifted his gun, squinting one eye as he pulled the trigger. A hail of bullets rained down from his rifle. Golden sparrows plopped down from the trees, sandstones flying through the willows, making a clattering sound.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geer lifted his gun, squinting one eye as he pulled the trigger. A hail of bullets rained down from his rifle. Golden sparrows plopped down from the trees, sandstones flying through the willows, making a clattering sound.\n",
+      "--------\n",
+      "step 3: Old Geer lifted his gun, squinting one eye as he pulled the trigger. A hail of bullets rained down from his rifle. Golden sparrows plopped down from the trees, sandstones flying through the willows, making a clattering sound.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:33:33<00:00,  4.95s/it]\n",
+      "                                             chinese  ...               unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂���机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geer lifted his gun, squinting one eye as ...\n",
+      "\n",
+      "[1 rows x 5 columns]\n",
+      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "3.945 GB of memory reserved.\n",
+      "Unsloth 2024.6 patched 28 layers with 0 QKV layers, 28 O layers and 28 MLP layers.\n",
+      "Map (num_proc=2): 100%|████████████| 4528/4528 [00:01<00:00, 2276.92 examples/s]\n",
+      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "3.945 GB of memory reserved.\n",
+      "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
+      "   \\\\   /|    Num examples = 4,528 | Num Epochs = 10\n",
+      "O^O/ \\_/ \\    Batch size per device = 2 | Gradient Accumulation steps = 4\n",
+      "\\        /    Total batch size = 8 | Total steps = 5,660\n",
+      " \"-____-\"     Number of trainable parameters = 18,464,768\n",
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+      "{'loss': 0.1331, 'grad_norm': 0.4558337330818176, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
+      "{'loss': 0.118, 'grad_norm': 0.4607541561126709, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n",
+      "{'loss': 0.1186, 'grad_norm': 0.49737748503685, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
+      "{'loss': 0.1197, 'grad_norm': 0.46176978945732117, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
+      "{'loss': 0.1203, 'grad_norm': 0.48998674750328064, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
+      "{'loss': 0.1231, 'grad_norm': 0.443093866109848, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
+      "{'train_runtime': 15713.8663, 'train_samples_per_second': 2.882, 'train_steps_per_second': 0.36, 'train_loss': 0.5995376785736624, 'epoch': 10.0}\n",
+      "100%|█████████████████████████████████████| 5660/5660 [4:21:53<00:00,  2.78s/it]\n",
+      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "15713.8663 seconds used for training.\n",
+      "261.9 minutes used for training.\n",
+      "Peak reserved memory = 3.945 GB.\n",
+      "Peak reserved memory for training = 0.0 GB.\n",
+      "Peak reserved memory % of max memory = 32.891 %.\n",
+      "Peak reserved memory for training % of max memory = 0.0 %.\n",
+      "Evaluating fine-tuned model: unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geng raised the pistol to his eye, squeezed the trigger, and some of the shot flew straight into the sky, like ice pellets, as spattered tin shells burst against the willows.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geng raised the pistol to his eye, squeezed the trigger, and some of the shot flew straight into the sky, like ice pellets, as spattered tin shells burst against the willows.\n",
+      "--------\n",
+      "step 3: Old Geng raised the pistol to his eye, squeezed the trigger, and some of the shot flew straight into the sky, like ice pellets, as spattered tin shells burst against the willows.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [2:11:23<00:00,  6.96s/it]\n",
+      "                                             chinese  ...    unsloth/Qwen2-1.5B-Instruct-bnb-4bit(finetuned)\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geng raised the pistol to his eye, squeeze...\n",
+      "\n",
+      "[1 rows x 6 columns]\n",
+      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "5.33 GB of memory reserved.\n",
+      "README.md: 100%|███████████████████████████████| 593/593 [00:00<00:00, 3.08MB/s]\n",
+      "model.safetensors: 100%|███████████████████| 1.22G/1.22G [02:18<00:00, 8.82MB/s]\n",
+      "Saved model to https://huggingface.co/Qwen2-1.5B-Instruct-bnb-4bit-MAC-lora\n",
+      "README.md: 100%|█████████���█████████████████████| 599/599 [00:00<00:00, 2.99MB/s]\n",
+      "Unsloth: Saving tokenizer... Done.\n",
+      "Unsloth: Saving model... Done.\n",
+      "Unsloth: Saving LoRA adapters. Please wait...\n",
+      "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-66787955-4b5759766262340722a532d6;dcdc16ae-e45d-406a-81c9-13d22426edcb)\n",
+      "\n",
+      "Invalid username or password.\n",
+      "CPU times: user 23min 32s, sys: 8min 51s, total: 32min 24s\n",
+      "Wall time: 14h 50min 41s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "!./tune-small.sh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Current Directory:\n",
+      "/home/inflaton/code/projects/courses/novel-translation\n",
+      "Tuning unsloth/Qwen2-0.5B-Instruct\n",
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+      "[nltk_data] Downloading package wordnet to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package wordnet is already up-to-date!\n",
+      "[nltk_data] Downloading package punkt to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "[nltk_data] Downloading package omw-1.4 to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package omw-1.4 is already up-to-date!\n",
+      "loading /home/inflaton/code/projects/courses/novel-translation/translation_engine_v3.py\n",
+      "loading env vars from: /home/inflaton/code/projects/courses/novel-translation/.env\n",
+      "unsloth/Qwen2-0.5B-Instruct True 2048 10 None datasets/mac/mac.tsv results/mac-results_v3.csv True True True\n",
+      "(1) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.0 GB of memory reserved.\n",
+      "loading model: unsloth/Qwen2-0.5B-Instruct\n",
+      "==((====))==  Unsloth: Fast Qwen2 patching release 2024.6\n",
+      "   \\\\   /|    GPU: NVIDIA GeForce RTX 4080 Laptop GPU. Max memory: 11.994 GB. Platform = Linux.\n",
+      "O^O/ \\_/ \\    Pytorch: 2.3.0. CUDA = 8.9. CUDA Toolkit = 12.1.\n",
+      "\\        /    Bfloat16 = TRUE. Xformers = 0.0.26.post1. FA = True.\n",
+      " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "(2) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.633 GB of memory reserved.\n",
+      "loading train/test data files\n",
+      "DatasetDict({\n",
+      "    train: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 4528\n",
+      "    })\n",
+      "    test: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 1133\n",
+      "    })\n",
+      "})\n",
+      "Evaluating base model: unsloth/Qwen2-0.5B-Instruct\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old耿举起枪，眯着眼睛，枪声轰鸣，子弹砰砰砰地落在地上，一颗颗冰雹般的大鸟扑棱棱地落在柳树之间，咔嚓一声。<|im_end|>\n",
+      "--------\n",
+      "step 2: Old耿举起枪，眯着眼睛，枪声轰鸣，子弹砰砰砰地落在地上，一颗颗冰雹般的大鸟扑棱棱地落在柳树之间，咔嚓一声。\n",
+      "--------\n",
+      "step 3: Old耿举起枪，眯着眼睛，枪声轰鸣，子弹砰砰砰地落在地上，一颗颗冰雹般的大鸟扑棱棱地落在柳树之间，咔嚓一声。\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:07:20<00:00,  3.57s/it]\n",
+      "                                             chinese  ...                        unsloth/Qwen2-0.5B-Instruct\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old耿举起枪，眯着眼睛，枪声轰鸣，子弹砰砰砰地落在地上，一颗颗冰雹般的大鸟扑棱棱地落在柳树...\n",
+      "\n",
+      "[1 rows x 7 columns]\n",
+      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.873 GB of memory reserved.\n",
+      "Unsloth 2024.6 patched 24 layers with 0 QKV layers, 24 O layers and 24 MLP layers.\n",
+      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.873 GB of memory reserved.\n",
+      "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
+      "   \\\\   /|    Num examples = 4,528 | Num Epochs = 10\n",
+      "O^O/ \\_/ \\    Batch size per device = 2 | Gradient Accumulation steps = 4\n",
+      "\\        /    Total batch size = 8 | Total steps = 5,660\n",
+      " \"-____-\"     Number of trainable parameters = 8,798,208\n",
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+      "{'loss': 0.2384, 'grad_norm': 1.0737488269805908, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
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+      "{'loss': 0.19, 'grad_norm': 1.11255943775177, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
+      "{'loss': 0.1869, 'grad_norm': 1.0752365589141846, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
+      "{'loss': 0.1881, 'grad_norm': 1.592451810836792, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
+      "{'loss': 0.1889, 'grad_norm': 1.070407748222351, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
+      "{'train_runtime': 13633.0365, 'train_samples_per_second': 3.321, 'train_steps_per_second': 0.415, 'train_loss': 0.7991274287759625, 'epoch': 10.0}\n",
+      "100%|█████████████████████████████████████| 5660/5660 [3:47:13<00:00,  2.41s/it]\n",
+      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "13633.0365 seconds used for training.\n",
+      "227.22 minutes used for training.\n",
+      "Peak reserved memory = 1.369 GB.\n",
+      "Peak reserved memory for training = 0.496 GB.\n",
+      "Peak reserved memory % of max memory = 11.414 %.\n",
+      "Peak reserved memory for training % of max memory = 4.135 %.\n",
+      "Evaluating fine-tuned model: unsloth/Qwen2-0.5B-Instruct\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geng raised his rifle and tilted his head, clasping the trigger, and a crash of iron shrapnel fell beside him, splashing over time boundaries and scattering like ice rain.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geng raised his rifle and tilted his head, clasping the trigger, and a crash of iron shrapnel fell beside him, splashing over time boundaries and scattering like ice rain.\n",
+      "--------\n",
+      "step 3: Old Geng raised his rifle and tilted his head, clasping the trigger, and a crash of iron shrapnel fell beside him, splashing over time boundaries and scattering like ice rain.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:36:22<00:00,  5.10s/it]\n",
+      "                                             chinese  ...             unsloth/Qwen2-0.5B-Instruct(finetuned)\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geng raised his rifle and tilted his head,...\n",
+      "\n",
+      "[1 rows x 8 columns]\n",
+      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "1.369 GB of memory reserved.\n",
+      "README.md: 100%|███████████████████████████████| 599/599 [00:00<00:00, 3.47MB/s]\n",
+      "model.safetensors: 100%|█████████████████████| 493M/493M [01:42<00:00, 4.83MB/s]\n",
+      "Saved model to https://huggingface.co/Qwen2-0.5B-Instruct-MAC-lora\n",
+      "Unsloth: Saving tokenizer... Done.\n",
+      "Unsloth: Saving model... Done.\n",
+      "Unsloth: Saving LoRA adapters. Please wait...\n",
+      "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-6678d5ab-7ebfba970b06941d330c774c;eef78700-1bc6-4a4b-82dc-3a0513f85a69)\n",
+      "\n",
+      "Invalid username or password.\n",
+      "Tuning unsloth/Qwen2-1.5B-Instruct\n",
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+      "[nltk_data] Downloading package wordnet to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package wordnet is already up-to-date!\n",
+      "[nltk_data] Downloading package punkt to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "[nltk_data] Downloading package omw-1.4 to /home/inflaton/nltk_data...\n",
+      "[nltk_data]   Package omw-1.4 is already up-to-date!\n",
+      "loading /home/inflaton/code/projects/courses/novel-translation/translation_engine_v3.py\n",
+      "loading env vars from: /home/inflaton/code/projects/courses/novel-translation/.env\n",
+      "unsloth/Qwen2-1.5B-Instruct True 2048 10 None datasets/mac/mac.tsv results/mac-results_v3.csv True True True\n",
+      "(1) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "0.0 GB of memory reserved.\n",
+      "loading model: unsloth/Qwen2-1.5B-Instruct\n",
+      "==((====))==  Unsloth: Fast Qwen2 patching release 2024.6\n",
+      "   \\\\   /|    GPU: NVIDIA GeForce RTX 4080 Laptop GPU. Max memory: 11.994 GB. Platform = Linux.\n",
+      "O^O/ \\_/ \\    Pytorch: 2.3.0. CUDA = 8.9. CUDA Toolkit = 12.1.\n",
+      "\\        /    Bfloat16 = TRUE. Xformers = 0.0.26.post1. FA = True.\n",
+      " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "(2) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "1.516 GB of memory reserved.\n",
+      "loading train/test data files\n",
+      "Map: 100%|█████████████████████████| 4528/4528 [00:00<00:00, 9716.63 examples/s]\n",
+      "Map: 100%|█████████████████████████| 1133/1133 [00:00<00:00, 5762.27 examples/s]\n",
+      "DatasetDict({\n",
+      "    train: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 4528\n",
+      "    })\n",
+      "    test: Dataset({\n",
+      "        features: ['chinese', 'english', 'text', 'prompt'],\n",
+      "        num_rows: 1133\n",
+      "    })\n",
+      "})\n",
+      "Evaluating base model: unsloth/Qwen2-1.5B-Instruct\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geer lifted his gun, squinted one of his eyes, clutched it, and fired off a shot like hail of golden sparrows, sand grains flying from the willows, making a sound.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geer lifted his gun, squinted one of his eyes, clutched it, and fired off a shot like hail of golden sparrows, sand grains flying from the willows, making a sound.\n",
+      "--------\n",
+      "step 3: Old Geer lifted his gun, squinted one of his eyes, clutched it, and fired off a shot like hail of golden sparrows, sand grains flying from the willows, making a sound.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [1:08:04<00:00,  3.61s/it]\n",
+      "                                             chinese  ...                        unsloth/Qwen2-1.5B-Instruct\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geer lifted his gun, squinted one of his e...\n",
+      "\n",
+      "[1 rows x 9 columns]\n",
+      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "1.758 GB of memory reserved.\n",
+      "Unsloth 2024.6 patched 28 layers with 0 QKV layers, 28 O layers and 28 MLP layers.\n",
+      "Map (num_proc=2): 100%|████████████| 4528/4528 [00:02<00:00, 2227.71 examples/s]\n",
+      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "1.758 GB of memory reserved.\n",
+      "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
+      "   \\\\   /|    Num examples = 4,528 | Num Epochs = 10\n",
+      "O^O/ \\_/ \\    Batch size per device = 2 | Gradient Accumulation steps = 4\n",
+      "\\        /    Total batch size = 8 | Total steps = 5,660\n",
+      " \"-____-\"     Number of trainable parameters = 18,464,768\n",
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+      "{'loss': 0.1232, 'grad_norm': 0.93674236536026, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
+      "{'train_runtime': 15791.9321, 'train_samples_per_second': 2.867, 'train_steps_per_second': 0.358, 'train_loss': 0.5995039068767966, 'epoch': 10.0}\n",
+      "100%|█████████████████████████████████████| 5660/5660 [4:23:11<00:00,  2.79s/it]\n",
+      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "15791.9321 seconds used for training.\n",
+      "263.2 minutes used for training.\n",
+      "Peak reserved memory = 2.365 GB.\n",
+      "Peak reserved memory for training = 0.607 GB.\n",
+      "Peak reserved memory % of max memory = 19.718 %.\n",
+      "Peak reserved memory for training % of max memory = 5.061 %.\n",
+      "Evaluating fine-tuned model: unsloth/Qwen2-1.5B-Instruct\n",
+      "  0%|                                                  | 0/1133 [00:00<?, ?it/s]--------\n",
+      "step 1: Old Geng raised his gun, squinted, and emptied it. The cocoon of bullets split open as they flew, like ice pellets, until it was gone, sending chiseling sounds tumbling through the air as iron seeds smashed pruneflower stems.<|im_end|>\n",
+      "--------\n",
+      "step 2: Old Geng raised his gun, squinted, and emptied it. The cocoon of bullets split open as they flew, like ice pellets, until it was gone, sending chiseling sounds tumbling through the air as iron seeds smashed pruneflower stems.\n",
+      "--------\n",
+      "step 3: Old Geng raised his gun, squinted, and emptied it. The cocoon of bullets split open as they flew, like ice pellets, until it was gone, sending chiseling sounds tumbling through the air as iron seeds smashed pruneflower stems.\n",
+      "100%|█████████████████████████████████████| 1133/1133 [2:10:28<00:00,  6.91s/it]\n",
+      "                                             chinese  ...             unsloth/Qwen2-1.5B-Instruct(finetuned)\n",
+      "0  老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞...  ...  Old Geng raised his gun, squinted, and emptied...\n",
+      "\n",
+      "[1 rows x 10 columns]\n",
+      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
+      "5.33 GB of memory reserved.\n",
+      "README.md: 100%|███████████████████████████████| 599/599 [00:00<00:00, 3.36MB/s]\n",
+      "model.safetensors: 100%|███████████████████| 1.22G/1.22G [04:57<00:00, 4.09MB/s]\n",
+      "Saved model to https://huggingface.co/Qwen2-1.5B-Instruct-MAC-lora\n",
+      "Unsloth: Saving tokenizer... Done.\n",
+      "Unsloth: Saving model... Done.\n",
+      "Unsloth: Saving LoRA adapters. Please wait...\n",
+      "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-667943a2-3b0230ba1811ed550b585d53;2d0f1d17-f232-41f6-9eab-add0e87114f8)\n",
+      "\n",
+      "Invalid username or password.\n",
+      "CPU times: user 23min 30s, sys: 8min 24s, total: 31min 55s\n",
+      "Wall time: 14h 23min 14s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "!./tune-small-2.sh"
+   ]
+  }
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