diff --git "a/notebooks/04_tune-small-no-flash-attn.ipynb" "b/notebooks/04_tune-small-no-flash-attn.ipynb"
deleted file mode 100644--- "a/notebooks/04_tune-small-no-flash-attn.ipynb"
+++ /dev/null
@@ -1,4607 +0,0 @@
-{
- "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": [
-      "Fri Jun 21 18:14:08 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   54C    P5               7W / 150W |    234MiB / 12282MiB |     42%      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": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[33mWARNING: Package(s) not found: flash-attn\u001b[0m\u001b[33m\n",
-      "\u001b[0m"
-     ]
-    }
-   ],
-   "source": [
-    "!pip show flash-attn"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "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 = False.\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",
-      "100%|█████████████████████████████████████| 1133/1133 [1:21:58<00:00,  4.34s/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...  ...  The gun is lifted by Old Teng, with his eyes c...\n",
-      "\n",
-      "[1 rows x 7 columns]\n",
-      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "3.043 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",
-      "3.043 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",
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-      "{'loss': 0.3134, 'grad_norm': 1.481117606163025, 'learning_rate': 5.163572060123785e-05, 'epoch': 7.42}\n",
-      "{'loss': 0.3139, 'grad_norm': 1.8529402017593384, 'learning_rate': 4.809902740937224e-05, 'epoch': 7.6}\n",
-      "{'loss': 0.303, 'grad_norm': 1.9317971467971802, 'learning_rate': 4.4562334217506634e-05, 'epoch': 7.77}\n",
-      "{'loss': 0.3176, 'grad_norm': 1.7100918292999268, 'learning_rate': 4.1025641025641023e-05, 'epoch': 7.95}\n",
-      "{'loss': 0.2473, 'grad_norm': 1.5257225036621094, 'learning_rate': 3.7488947833775426e-05, 'epoch': 8.13}\n",
-      "{'loss': 0.2267, 'grad_norm': 1.563258171081543, 'learning_rate': 3.3952254641909815e-05, 'epoch': 8.3}\n",
-      "{'loss': 0.2282, 'grad_norm': 1.091956377029419, 'learning_rate': 3.041556145004421e-05, 'epoch': 8.48}\n",
-      "{'loss': 0.2358, 'grad_norm': 1.2666215896606445, 'learning_rate': 2.6878868258178604e-05, 'epoch': 8.66}\n",
-      "{'loss': 0.2354, 'grad_norm': 2.033458948135376, 'learning_rate': 2.3342175066313e-05, 'epoch': 8.83}\n",
-      "{'loss': 0.2375, 'grad_norm': 1.1279031038284302, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
-      "{'loss': 0.181, 'grad_norm': 1.1606773138046265, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n",
-      "{'loss': 0.1902, 'grad_norm': 1.120147466659546, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
-      "{'loss': 0.1874, 'grad_norm': 1.1482255458831787, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
-      "{'loss': 0.1878, 'grad_norm': 1.6668341159820557, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
-      " 97%|███████████████████████████████████▉ | 5500/5660 [3:50:58<06:29,  2.43s/it]/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/other.py:611: UserWarning: Unable to fetch remote file due to the following error (MaxRetryError('HTTPSConnectionPool(host=\\'huggingface.co\\', port=443): Max retries exceeded with url: /unsloth/Qwen2-0.5B-Instruct-bnb-4bit/resolve/main/config.json (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f94387afb50>: Failed to resolve \\'huggingface.co\\' ([Errno -3] Temporary failure in name resolution)\"))'), '(Request ID: c47e2483-6a5c-4a75-8fdb-c35160bdbb0d)') - silently ignoring the lookup for the file config.json in unsloth/Qwen2-0.5B-Instruct-bnb-4bit.\n",
-      "  warnings.warn(\n",
-      "/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/save_and_load.py:195: UserWarning: Could not find a config file in unsloth/Qwen2-0.5B-Instruct-bnb-4bit - will assume that the vocabulary was not modified.\n",
-      "  warnings.warn(\n",
-      "{'loss': 0.1887, 'grad_norm': 1.131452202796936, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
-      "{'train_runtime': 14270.4989, 'train_samples_per_second': 3.173, 'train_steps_per_second': 0.397, 'train_loss': 0.7989168851198661, 'epoch': 10.0}\n",
-      "100%|█████████████████████████████████████| 5660/5660 [3:57:50<00:00,  2.52s/it]\n",
-      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "14270.4989 seconds used for training.\n",
-      "237.84 minutes used for training.\n",
-      "Peak reserved memory = 3.043 GB.\n",
-      "Peak reserved memory for training = 0.0 GB.\n",
-      "Peak reserved memory % of max memory = 25.371 %.\n",
-      "Peak reserved memory for training % of max memory = 0.0 %.\n",
-      "Evaluating fine-tuned model: unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n",
-      "100%|█████████████████████████████████████| 1133/1133 [1:52:28<00:00,  5.96s/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，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, squinting, and aimi...\n",
-      "\n",
-      "[1 rows x 8 columns]\n",
-      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "3.895 GB of memory reserved.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving tokenizer... Done.\n",
-      "Unsloth: Saving model... This might take 10 minutes for Llama-7b... Done.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving 4bit Bitsandbytes model. Please wait...\n",
-      "README.md: 100%|███████████████████████████████| 593/593 [00:00<00:00, 3.29MB/s]\n",
-      "model.safetensors: 100%|█████████████████████| 493M/493M [01:07<00:00, 7.32MB/s]\n",
-      "README.md: 100%|███████████████████████████████| 599/599 [00:00<00:00, 2.60MB/s]\n",
-      "Saved merged_4bit model to https://huggingface.co/Qwen2-0.5B-Instruct-bnb-4bit-MAC-merged_4bit_forced\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 = False.\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",
-      "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",
-      "100%|█████████████████████████████████████| 1133/1133 [1:32:31<00:00,  4.90s/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 and squinted at it thr...\n",
-      "\n",
-      "[1 rows x 9 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",
-      "(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",
-      "{'loss': 1.7413, 'grad_norm': 0.6446139216423035, 'learning_rate': 0.00019664014146772768, 'epoch': 0.18}\n",
-      "{'loss': 1.5677, 'grad_norm': 0.6344625353813171, 'learning_rate': 0.0001931034482758621, 'epoch': 0.35}\n",
-      "{'loss': 1.5159, 'grad_norm': 0.6517081260681152, 'learning_rate': 0.00018956675508399648, 'epoch': 0.53}\n",
-      "{'loss': 1.5171, 'grad_norm': 0.5709907412528992, 'learning_rate': 0.00018603006189213086, 'epoch': 0.71}\n",
-      "{'loss': 1.4959, 'grad_norm': 0.568977952003479, 'learning_rate': 0.00018249336870026527, 'epoch': 0.88}\n",
-      "{'loss': 1.418, 'grad_norm': 0.6047976016998291, 'learning_rate': 0.00017895667550839965, 'epoch': 1.06}\n",
-      "{'loss': 1.2972, 'grad_norm': 0.7236104607582092, 'learning_rate': 0.00017541998231653406, 'epoch': 1.24}\n",
-      "{'loss': 1.3396, 'grad_norm': 0.6862805485725403, 'learning_rate': 0.00017188328912466844, 'epoch': 1.41}\n",
-      "{'loss': 1.2789, 'grad_norm': 0.8805968165397644, 'learning_rate': 0.00016834659593280285, 'epoch': 1.59}\n",
-      "{'loss': 1.2793, 'grad_norm': 0.8751853108406067, 'learning_rate': 0.00016480990274093723, 'epoch': 1.77}\n",
-      "{'loss': 1.3315, 'grad_norm': 0.8396161794662476, 'learning_rate': 0.00016127320954907164, 'epoch': 1.94}\n",
-      "{'loss': 1.1276, 'grad_norm': 0.9836744666099548, 'learning_rate': 0.000157736516357206, 'epoch': 2.12}\n",
-      "{'loss': 0.9962, 'grad_norm': 1.0947535037994385, 'learning_rate': 0.0001541998231653404, 'epoch': 2.3}\n",
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-      "{'loss': 0.7448, 'grad_norm': 1.191597819328308, 'learning_rate': 0.00012236958443854996, 'epoch': 3.89}\n",
-      "{'loss': 0.6435, 'grad_norm': 1.6522774696350098, 'learning_rate': 0.00011883289124668435, 'epoch': 4.06}\n",
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-      "{'loss': 0.4463, 'grad_norm': 2.0055346488952637, 'learning_rate': 0.00011175950486295315, 'epoch': 4.42}\n",
-      "{'loss': 0.4806, 'grad_norm': 1.7279341220855713, 'learning_rate': 0.00010822281167108754, 'epoch': 4.59}\n",
-      "{'loss': 0.4799, 'grad_norm': 1.6954944133758545, 'learning_rate': 0.00010468611847922194, 'epoch': 4.77}\n",
-      "{'loss': 0.4874, 'grad_norm': 1.6931037902832031, 'learning_rate': 0.00010114942528735633, 'epoch': 4.95}\n",
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-      "{'loss': 0.3065, 'grad_norm': 1.1433079242706299, 'learning_rate': 7.99292661361627e-05, 'epoch': 6.01}\n",
-      "{'loss': 0.1922, 'grad_norm': 1.671250343322754, 'learning_rate': 7.639257294429708e-05, 'epoch': 6.18}\n",
-      "{'loss': 0.2034, 'grad_norm': 1.0947823524475098, 'learning_rate': 7.285587975243147e-05, 'epoch': 6.36}\n",
-      "{'loss': 0.2064, 'grad_norm': 1.121410608291626, 'learning_rate': 6.931918656056587e-05, 'epoch': 6.54}\n",
-      "{'loss': 0.208, 'grad_norm': 1.0732439756393433, 'learning_rate': 6.578249336870027e-05, 'epoch': 6.71}\n",
-      "{'loss': 0.2129, 'grad_norm': 1.4153015613555908, 'learning_rate': 6.224580017683466e-05, 'epoch': 6.89}\n",
-      "{'loss': 0.1935, 'grad_norm': 0.7308939099311829, 'learning_rate': 5.870910698496905e-05, 'epoch': 7.07}\n",
-      "{'loss': 0.1485, 'grad_norm': 0.49827346205711365, 'learning_rate': 5.517241379310345e-05, 'epoch': 7.24}\n",
-      "{'loss': 0.157, 'grad_norm': 0.9691917300224304, 'learning_rate': 5.163572060123785e-05, 'epoch': 7.42}\n",
-      "{'loss': 0.1574, 'grad_norm': 0.8331239819526672, 'learning_rate': 4.809902740937224e-05, 'epoch': 7.6}\n",
-      "{'loss': 0.1584, 'grad_norm': 0.6648879051208496, 'learning_rate': 4.4562334217506634e-05, 'epoch': 7.77}\n",
-      "{'loss': 0.1577, 'grad_norm': 1.7691469192504883, 'learning_rate': 4.1025641025641023e-05, 'epoch': 7.95}\n",
-      "{'loss': 0.1366, 'grad_norm': 0.4894603192806244, 'learning_rate': 3.7488947833775426e-05, 'epoch': 8.13}\n",
-      "{'loss': 0.1303, 'grad_norm': 0.7218558192253113, 'learning_rate': 3.3952254641909815e-05, 'epoch': 8.3}\n",
-      "{'loss': 0.1311, 'grad_norm': 0.512703537940979, 'learning_rate': 3.041556145004421e-05, 'epoch': 8.48}\n",
-      "{'loss': 0.1333, 'grad_norm': 0.49423089623451233, 'learning_rate': 2.6878868258178604e-05, 'epoch': 8.66}\n",
-      "{'loss': 0.1338, 'grad_norm': 0.8092319965362549, 'learning_rate': 2.3342175066313e-05, 'epoch': 8.83}\n",
-      " 88%|████████████████████████████████▋    | 5000/5660 [3:52:46<30:36,  2.78s/it]/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/other.py:611: UserWarning: Unable to fetch remote file due to the following error (MaxRetryError('HTTPSConnectionPool(host=\\'huggingface.co\\', port=443): Max retries exceeded with url: /unsloth/Qwen2-1.5B-Instruct-bnb-4bit/resolve/main/config.json (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f0c3ad6fbb0>: Failed to resolve \\'huggingface.co\\' ([Errno -3] Temporary failure in name resolution)\"))'), '(Request ID: 8549560f-a295-478f-bfcb-44574f659439)') - silently ignoring the lookup for the file config.json in unsloth/Qwen2-1.5B-Instruct-bnb-4bit.\n",
-      "  warnings.warn(\n",
-      "/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/save_and_load.py:195: UserWarning: Could not find a config file in unsloth/Qwen2-1.5B-Instruct-bnb-4bit - will assume that the vocabulary was not modified.\n",
-      "  warnings.warn(\n",
-      "{'loss': 0.1326, 'grad_norm': 0.4783310890197754, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
-      "{'loss': 0.1177, 'grad_norm': 0.44080662727355957, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n",
-      "{'loss': 0.1184, 'grad_norm': 0.5362476706504822, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
-      "{'loss': 0.1191, 'grad_norm': 0.47040414810180664, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
-      "{'loss': 0.12, 'grad_norm': 0.5143936276435852, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
-      "{'loss': 0.1228, 'grad_norm': 0.433252215385437, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
-      "{'train_runtime': 15909.7187, 'train_samples_per_second': 2.846, 'train_steps_per_second': 0.356, 'train_loss': 0.5994435462850564, 'epoch': 10.0}\n",
-      "100%|█████████████████████████████████████| 5660/5660 [4:25:09<00:00,  2.81s/it]\n",
-      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "15909.7187 seconds used for training.\n",
-      "265.16 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",
-      "100%|█████████████████████████████████████| 1133/1133 [2:17:51<00:00,  7.30s/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 rifle to his eye, squinted...\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",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving tokenizer... Done.\n",
-      "Unsloth: Saving model... This might take 10 minutes for Llama-7b... Done.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving 4bit Bitsandbytes model. Please wait...\n",
-      "README.md: 100%|███████████████████████████████| 593/593 [00:00<00:00, 3.33MB/s]\n",
-      "model.safetensors: 100%|███████████████████| 1.22G/1.22G [01:41<00:00, 12.0MB/s]\n",
-      "README.md: 100%|███████████████████████████████| 599/599 [00:00<00:00, 3.39MB/s]\n",
-      "Saved merged_4bit model to https://huggingface.co/Qwen2-1.5B-Instruct-bnb-4bit-MAC-merged_4bit_forced\n"
-     ]
-    }
-   ],
-   "source": [
-    "!./tune-small.sh"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "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 = False.\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",
-      "Map: 100%|█████████████████████████| 4528/4528 [00:00<00:00, 8820.36 examples/s]\n",
-      "Map: 100%|█████████████████████████| 1133/1133 [00:00<00:00, 4632.29 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/Qwen2-0.5B-Instruct\n",
-      "100%|█████████████████████████████████████| 1133/1133 [1:18:16<00:00,  4.15s/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 Teng raises his gun, closing his eyes with...\n",
-      "\n",
-      "[1 rows x 11 columns]\n",
-      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "0.912 GB of memory reserved.\n",
-      "Unsloth 2024.6 patched 24 layers with 0 QKV layers, 24 O layers and 24 MLP layers.\n",
-      "Map (num_proc=2): 100%|████████████| 4528/4528 [00:02<00:00, 2104.12 examples/s]\n",
-      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "0.912 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': 0.8044034838676453, 'learning_rate': 0.0001931034482758621, 'epoch': 0.35}\n",
-      "{'loss': 1.7147, 'grad_norm': 0.9299402832984924, 'learning_rate': 0.00018956675508399648, 'epoch': 0.53}\n",
-      "{'loss': 1.7153, 'grad_norm': 0.7542973160743713, 'learning_rate': 0.00018603006189213086, 'epoch': 0.71}\n",
-      "{'loss': 1.6864, 'grad_norm': 0.8260002136230469, 'learning_rate': 0.00018249336870026527, 'epoch': 0.88}\n",
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-      "{'loss': 0.2941, 'grad_norm': 1.8065193891525269, 'learning_rate': 5.517241379310345e-05, 'epoch': 7.24}\n",
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-      "{'loss': 0.3137, 'grad_norm': 2.0079100131988525, 'learning_rate': 4.809902740937224e-05, 'epoch': 7.6}\n",
-      "{'loss': 0.3043, 'grad_norm': 1.8258264064788818, 'learning_rate': 4.4562334217506634e-05, 'epoch': 7.77}\n",
-      "{'loss': 0.3171, 'grad_norm': 1.5290628671646118, 'learning_rate': 4.1025641025641023e-05, 'epoch': 7.95}\n",
-      "{'loss': 0.2472, 'grad_norm': 1.458840250968933, 'learning_rate': 3.7488947833775426e-05, 'epoch': 8.13}\n",
-      "{'loss': 0.2266, 'grad_norm': 1.4306132793426514, 'learning_rate': 3.3952254641909815e-05, 'epoch': 8.3}\n",
-      "{'loss': 0.2287, 'grad_norm': 1.590943455696106, 'learning_rate': 3.041556145004421e-05, 'epoch': 8.48}\n",
-      "{'loss': 0.2362, 'grad_norm': 1.136732816696167, 'learning_rate': 2.6878868258178604e-05, 'epoch': 8.66}\n",
-      "{'loss': 0.2357, 'grad_norm': 2.2578623294830322, 'learning_rate': 2.3342175066313e-05, 'epoch': 8.83}\n",
-      "{'loss': 0.2376, 'grad_norm': 1.0956445932388306, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n",
-      "{'loss': 0.1812, 'grad_norm': 1.0962462425231934, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n",
-      "{'loss': 0.1901, 'grad_norm': 1.0591093301773071, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n",
-      "{'loss': 0.1872, 'grad_norm': 1.2788742780685425, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n",
-      "{'loss': 0.1885, 'grad_norm': 1.6012808084487915, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n",
-      "{'loss': 0.1893, 'grad_norm': 1.0120514631271362, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n",
-      "{'train_runtime': 14483.8236, 'train_samples_per_second': 3.126, 'train_steps_per_second': 0.391, 'train_loss': 0.7988819386849555, 'epoch': 10.0}\n",
-      "100%|█████████████████████████████████████| 5660/5660 [4:01:23<00:00,  2.56s/it]\n",
-      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "14483.8236 seconds used for training.\n",
-      "241.4 minutes used for training.\n",
-      "Peak reserved memory = 1.371 GB.\n",
-      "Peak reserved memory for training = 0.459 GB.\n",
-      "Peak reserved memory % of max memory = 11.431 %.\n",
-      "Peak reserved memory for training % of max memory = 3.827 %.\n",
-      "Evaluating fine-tuned model: unsloth/Qwen2-0.5B-Instruct\n",
-      "100%|█████████████████████████████████████| 1133/1133 [1:40:58<00:00,  5.35s/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 made a twist eye...\n",
-      "\n",
-      "[1 rows x 12 columns]\n",
-      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "1.371 GB of memory reserved.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving tokenizer... Done.\n",
-      "Unsloth: Saving model... This might take 10 minutes for Llama-7b... Done.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving 4bit Bitsandbytes model. Please wait...\n",
-      "model.safetensors: 100%|█████████████████████| 493M/493M [00:38<00:00, 12.7MB/s]\n",
-      "README.md: 100%|███████████████████████████████| 581/581 [00:00<00:00, 3.37MB/s]\n",
-      "Saved merged_4bit model to https://huggingface.co/Qwen2-0.5B-Instruct-MAC-merged_4bit_forced\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 = False.\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, 18414.78 examples/s]\n",
-      "Map: 100%|█████████████████████████| 1133/1133 [00:00<00:00, 9253.25 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",
-      "100%|█████████████████████████████████████| 1133/1133 [1:13:14<00:00,  3.88s/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...\n",
-      "\n",
-      "[1 rows x 13 columns]\n",
-      "(3) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "1.777 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, 2257.38 examples/s]\n",
-      "(4) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "1.777 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",
-      "{'loss': 1.7417, 'grad_norm': 0.6452760696411133, 'learning_rate': 0.00019664014146772768, 'epoch': 0.18}\n",
-      "{'loss': 1.5681, 'grad_norm': 0.6196172833442688, 'learning_rate': 0.0001931034482758621, 'epoch': 0.35}\n",
-      "{'loss': 1.516, 'grad_norm': 0.6484832763671875, 'learning_rate': 0.00018956675508399648, 'epoch': 0.53}\n",
-      "{'loss': 1.5172, 'grad_norm': 0.5743487477302551, 'learning_rate': 0.00018603006189213086, 'epoch': 0.71}\n",
-      "{'loss': 1.4959, 'grad_norm': 0.5681684017181396, 'learning_rate': 0.00018249336870026527, 'epoch': 0.88}\n",
-      "{'loss': 1.418, 'grad_norm': 0.6087610125541687, 'learning_rate': 0.00017895667550839965, 'epoch': 1.06}\n",
-      "{'loss': 1.2977, 'grad_norm': 0.7200368642807007, 'learning_rate': 0.00017541998231653406, 'epoch': 1.24}\n",
-      "{'loss': 1.3391, 'grad_norm': 0.6828812956809998, 'learning_rate': 0.00017188328912466844, 'epoch': 1.41}\n",
-      "{'loss': 1.2787, 'grad_norm': 0.8858041763305664, 'learning_rate': 0.00016834659593280285, 'epoch': 1.59}\n",
-      "{'loss': 1.2797, 'grad_norm': 0.8660985231399536, 'learning_rate': 0.00016480990274093723, 'epoch': 1.77}\n",
-      "{'loss': 1.3315, 'grad_norm': 1.1288585662841797, 'learning_rate': 0.00016127320954907164, 'epoch': 1.94}\n",
-      "{'loss': 1.1279, 'grad_norm': 1.004281759262085, 'learning_rate': 0.000157736516357206, 'epoch': 2.12}\n",
-      "{'loss': 0.9951, 'grad_norm': 1.0934711694717407, 'learning_rate': 0.0001541998231653404, 'epoch': 2.3}\n",
-      "{'loss': 1.0299, 'grad_norm': 1.2658041715621948, 'learning_rate': 0.0001506631299734748, 'epoch': 2.47}\n",
-      "{'loss': 1.0337, 'grad_norm': 1.0768382549285889, 'learning_rate': 0.0001471264367816092, 'epoch': 2.65}\n",
-      "{'loss': 1.0343, 'grad_norm': 1.031988501548767, 'learning_rate': 0.0001435897435897436, 'epoch': 2.83}\n",
-      "{'loss': 1.0086, 'grad_norm': 0.9097064733505249, 'learning_rate': 0.000140053050397878, 'epoch': 3.0}\n",
-      "{'loss': 0.6964, 'grad_norm': 1.314468502998352, 'learning_rate': 0.0001365163572060124, 'epoch': 3.18}\n",
-      "{'loss': 0.7091, 'grad_norm': 1.35807204246521, 'learning_rate': 0.00013297966401414678, 'epoch': 3.36}\n",
-      "{'loss': 0.7151, 'grad_norm': 1.3476978540420532, 'learning_rate': 0.0001294429708222812, 'epoch': 3.53}\n",
-      " 35%|████████████▎                      | 2000/5660 [1:37:50<2:55:23,  2.88s/it]/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/other.py:611: UserWarning: Unable to fetch remote file due to the following error (MaxRetryError('HTTPSConnectionPool(host=\\'huggingface.co\\', port=443): Max retries exceeded with url: /unsloth/qwen2-1.5b-instruct-bnb-4bit/resolve/main/config.json (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f621b547c10>: Failed to resolve \\'huggingface.co\\' ([Errno -3] Temporary failure in name resolution)\"))'), '(Request ID: 628a4ff6-a882-4c3c-8607-702c8596b3a3)') - silently ignoring the lookup for the file config.json in unsloth/qwen2-1.5b-instruct-bnb-4bit.\n",
-      "  warnings.warn(\n",
-      "/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/save_and_load.py:195: UserWarning: Could not find a config file in unsloth/qwen2-1.5b-instruct-bnb-4bit - will assume that the vocabulary was not modified.\n",
-      "  warnings.warn(\n",
-      "{'loss': 0.7047, 'grad_norm': 1.4935038089752197, 'learning_rate': 0.00012590627763041555, 'epoch': 3.71}\n",
-      "{'loss': 0.7433, 'grad_norm': 1.3313759565353394, 'learning_rate': 0.00012236958443854996, 'epoch': 3.89}\n",
-      "{'loss': 0.6411, 'grad_norm': 1.1943646669387817, 'learning_rate': 0.00011883289124668435, 'epoch': 4.06}\n",
-      "{'loss': 0.4593, 'grad_norm': 1.4492411613464355, 'learning_rate': 0.00011529619805481875, 'epoch': 4.24}\n",
-      "{'loss': 0.4449, 'grad_norm': 1.6588672399520874, 'learning_rate': 0.00011175950486295315, 'epoch': 4.42}\n",
-      " 44%|███████████████▍                   | 2500/5660 [2:02:16<2:35:11,  2.95s/it]/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/other.py:611: UserWarning: Unable to fetch remote file due to the following error (MaxRetryError('HTTPSConnectionPool(host=\\'huggingface.co\\', port=443): Max retries exceeded with url: /unsloth/qwen2-1.5b-instruct-bnb-4bit/resolve/main/config.json (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f62ebaefac0>: Failed to resolve \\'huggingface.co\\' ([Errno -3] Temporary failure in name resolution)\"))'), '(Request ID: 5665c6e3-3fe8-43f6-b849-73a605e379e9)') - silently ignoring the lookup for the file config.json in unsloth/qwen2-1.5b-instruct-bnb-4bit.\n",
-      "  warnings.warn(\n",
-      "/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/save_and_load.py:195: UserWarning: Could not find a config file in unsloth/qwen2-1.5b-instruct-bnb-4bit - will assume that the vocabulary was not modified.\n",
-      "  warnings.warn(\n",
-      "{'loss': 0.4778, 'grad_norm': 1.644708514213562, 'learning_rate': 0.00010822281167108754, 'epoch': 4.59}\n",
-      "{'loss': 0.4785, 'grad_norm': 1.7970712184906006, 'learning_rate': 0.00010468611847922194, 'epoch': 4.77}\n",
-      "{'loss': 0.487, 'grad_norm': 1.5495588779449463, 'learning_rate': 0.00010114942528735633, 'epoch': 4.95}\n",
-      "{'loss': 0.3612, 'grad_norm': 1.3270775079727173, 'learning_rate': 9.761273209549072e-05, 'epoch': 5.12}\n",
-      "{'loss': 0.2908, 'grad_norm': 1.0414644479751587, 'learning_rate': 9.407603890362513e-05, 'epoch': 5.3}\n",
-      " 53%|██████████████████▌                | 3000/5660 [2:27:09<2:06:06,  2.84s/it]/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/other.py:611: UserWarning: Unable to fetch remote file due to the following error (MaxRetryError('HTTPSConnectionPool(host=\\'huggingface.co\\', port=443): Max retries exceeded with url: /unsloth/qwen2-1.5b-instruct-bnb-4bit/resolve/main/config.json (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f62ec4e6da0>: Failed to resolve \\'huggingface.co\\' ([Errno -3] Temporary failure in name resolution)\"))'), '(Request ID: 46085388-05e0-410c-b629-34f2cbb41b46)') - silently ignoring the lookup for the file config.json in unsloth/qwen2-1.5b-instruct-bnb-4bit.\n",
-      "  warnings.warn(\n",
-      "/home/inflaton/miniconda3/envs/unsloth_env/lib/python3.10/site-packages/peft/utils/save_and_load.py:195: UserWarning: Could not find a config file in unsloth/qwen2-1.5b-instruct-bnb-4bit - will assume that the vocabulary was not modified.\n",
-      "  warnings.warn(\n",
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-      "100%|█████████████████████████████████████| 5660/5660 [4:38:37<00:00,  2.95s/it]\n",
-      "(5) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "16717.8313 seconds used for training.\n",
-      "278.63 minutes used for training.\n",
-      "Peak reserved memory = 2.367 GB.\n",
-      "Peak reserved memory for training = 0.59 GB.\n",
-      "Peak reserved memory % of max memory = 19.735 %.\n",
-      "Peak reserved memory for training % of max memory = 4.919 %.\n",
-      "Evaluating fine-tuned model: unsloth/Qwen2-1.5B-Instruct\n",
-      "100%|█████████████████████████████████████| 1133/1133 [2:14:26<00:00,  7.12s/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 pistol, squinted through t...\n",
-      "\n",
-      "[1 rows x 14 columns]\n",
-      "(6) GPU = NVIDIA GeForce RTX 4080 Laptop GPU. Max memory = 11.994 GB.\n",
-      "5.33 GB of memory reserved.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving tokenizer... Done.\n",
-      "Unsloth: Saving model... This might take 10 minutes for Llama-7b... Done.\n",
-      "Unsloth: Merging 4bit and LoRA weights to 4bit...\n",
-      "This might take 5 minutes...\n",
-      "Done.\n",
-      "Unsloth: Saving 4bit Bitsandbytes model. Please wait...\n",
-      "model.safetensors: 100%|███████████████████| 1.22G/1.22G [02:18<00:00, 8.81MB/s]\n",
-      "README.md: 100%|███████████████████████████████| 581/581 [00:00<00:00, 3.67MB/s]\n",
-      "Saved merged_4bit model to https://huggingface.co/Qwen2-1.5B-Instruct-MAC-merged_4bit_forced\n"
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