{ "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", "πŸ¦₯ 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [1:21:58<00:00, 4.34s/it]\n", " chinese ... unsloth/Qwen2-0.5B-Instruct-bnb-4bit\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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", "{'loss': 1.7761, 'grad_norm': 0.8035507798194885, 'learning_rate': 0.0001931034482758621, 'epoch': 0.35}\n", "{'loss': 1.7147, 'grad_norm': 0.9184380769729614, 'learning_rate': 0.00018956675508399648, 'epoch': 0.53}\n", "{'loss': 1.7157, 'grad_norm': 0.7518640160560608, 'learning_rate': 0.00018603006189213086, 'epoch': 0.71}\n", "{'loss': 1.6863, 'grad_norm': 0.8273285031318665, 'learning_rate': 0.00018249336870026527, 'epoch': 0.88}\n", "{'loss': 1.608, 'grad_norm': 0.8058149814605713, 'learning_rate': 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8.34659593280283e-05, 'epoch': 5.83}\n", "{'loss': 0.5787, 'grad_norm': 2.149881601333618, 'learning_rate': 7.99292661361627e-05, 'epoch': 6.01}\n", "{'loss': 0.3971, 'grad_norm': 1.961249589920044, 'learning_rate': 7.639257294429708e-05, 'epoch': 6.18}\n", "{'loss': 0.4116, 'grad_norm': 1.9004943370819092, 'learning_rate': 7.285587975243147e-05, 'epoch': 6.36}\n", "{'loss': 0.429, 'grad_norm': 2.7660951614379883, 'learning_rate': 6.931918656056587e-05, 'epoch': 6.54}\n", "{'loss': 0.4209, 'grad_norm': 1.6345818042755127, 'learning_rate': 6.578249336870027e-05, 'epoch': 6.71}\n", "{'loss': 0.4275, 'grad_norm': 1.6811296939849854, 'learning_rate': 6.224580017683466e-05, 'epoch': 6.89}\n", "{'loss': 0.3852, 'grad_norm': 1.5187770128250122, 'learning_rate': 5.870910698496905e-05, 'epoch': 7.07}\n", "{'loss': 0.2924, 'grad_norm': 1.5174031257629395, 'learning_rate': 5.517241379310345e-05, 'epoch': 7.24}\n", "{'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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 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(\": 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [1:52:28<00:00, 5.96s/it]\n", " chinese ... unsloth/Qwen2-0.5B-Instruct-bnb-4bit(finetuned)\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 593/593 [00:00<00:00, 3.29MB/s]\n", "model.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 493M/493M [01:07<00:00, 7.32MB/s]\n", "README.md: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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", "πŸ¦₯ 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [1:32:31<00:00, 4.90s/it]\n", " chinese ... unsloth/Qwen2-1.5B-Instruct-bnb-4bit\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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': 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88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 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(\": 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [2:17:51<00:00, 7.30s/it]\n", " chinese ... unsloth/Qwen2-1.5B-Instruct-bnb-4bit(finetuned)\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 593/593 [00:00<00:00, 3.33MB/s]\n", "model.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1.22G/1.22G [01:41<00:00, 12.0MB/s]\n", "README.md: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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", "πŸ¦₯ 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. 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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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [1:40:58<00:00, 5.35s/it]\n", " chinese ... unsloth/Qwen2-0.5B-Instruct(finetuned)\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 493M/493M [00:38<00:00, 12.7MB/s]\n", "README.md: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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", "πŸ¦₯ 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4528/4528 [00:00<00:00, 18414.78 examples/s]\n", "Map: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [1:13:14<00:00, 3.88s/it]\n", " chinese ... unsloth/Qwen2-1.5B-Instruct\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... Oldθ€Ώη«―θ΅·ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζž...\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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 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(\": 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 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(\": 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 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(\": 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", "{'loss': 0.2978, 'grad_norm': 1.3449839353561401, 'learning_rate': 9.053934571175951e-05, 'epoch': 5.48}\n", "{'loss': 0.3143, 'grad_norm': 1.344139814376831, 'learning_rate': 8.70026525198939e-05, 'epoch': 5.65}\n", "{'loss': 0.3089, 'grad_norm': 1.6479969024658203, 'learning_rate': 8.34659593280283e-05, 'epoch': 5.83}\n", "{'loss': 0.3053, 'grad_norm': 0.8114176392555237, 'learning_rate': 7.99292661361627e-05, 'epoch': 6.01}\n", "{'loss': 0.1932, 'grad_norm': 1.7617920637130737, 'learning_rate': 7.639257294429708e-05, 'epoch': 6.18}\n", "{'loss': 0.2036, 'grad_norm': 1.1698989868164062, 'learning_rate': 7.285587975243147e-05, 'epoch': 6.36}\n", "{'loss': 0.205, 'grad_norm': 1.1838085651397705, 'learning_rate': 6.931918656056587e-05, 'epoch': 6.54}\n", "{'loss': 0.2078, 'grad_norm': 1.3557209968566895, 'learning_rate': 6.578249336870027e-05, 'epoch': 6.71}\n", "{'loss': 0.2152, 'grad_norm': 1.0370357036590576, 'learning_rate': 6.224580017683466e-05, 'epoch': 6.89}\n", "{'loss': 0.1935, 'grad_norm': 0.6839048862457275, 'learning_rate': 5.870910698496905e-05, 'epoch': 7.07}\n", "{'loss': 0.1503, 'grad_norm': 0.8074870705604553, 'learning_rate': 5.517241379310345e-05, 'epoch': 7.24}\n", "{'loss': 0.1571, 'grad_norm': 0.7514998912811279, 'learning_rate': 5.163572060123785e-05, 'epoch': 7.42}\n", "{'loss': 0.1571, 'grad_norm': 0.7462531328201294, 'learning_rate': 4.809902740937224e-05, 'epoch': 7.6}\n", "{'loss': 0.157, 'grad_norm': 0.773760199546814, 'learning_rate': 4.4562334217506634e-05, 'epoch': 7.77}\n", "{'loss': 0.1584, 'grad_norm': 1.2061128616333008, 'learning_rate': 4.1025641025641023e-05, 'epoch': 7.95}\n", "{'loss': 0.1365, 'grad_norm': 0.5050584077835083, 'learning_rate': 3.7488947833775426e-05, 'epoch': 8.13}\n", "{'loss': 0.1301, 'grad_norm': 0.6061640381813049, 'learning_rate': 3.3952254641909815e-05, 'epoch': 8.3}\n", "{'loss': 0.1314, 'grad_norm': 0.4381011724472046, 'learning_rate': 3.041556145004421e-05, 'epoch': 8.48}\n", "{'loss': 0.1336, 'grad_norm': 0.4109954535961151, 'learning_rate': 2.6878868258178604e-05, 'epoch': 8.66}\n", "{'loss': 0.1334, 'grad_norm': 0.7153268456459045, 'learning_rate': 2.3342175066313e-05, 'epoch': 8.83}\n", "{'loss': 0.1324, 'grad_norm': 0.5012986063957214, 'learning_rate': 1.9805481874447392e-05, 'epoch': 9.01}\n", "{'loss': 0.1179, 'grad_norm': 0.47853657603263855, 'learning_rate': 1.6268788682581788e-05, 'epoch': 9.19}\n", "{'loss': 0.1182, 'grad_norm': 0.5196290612220764, 'learning_rate': 1.273209549071618e-05, 'epoch': 9.36}\n", "{'loss': 0.1194, 'grad_norm': 0.47395309805870056, 'learning_rate': 9.195402298850575e-06, 'epoch': 9.54}\n", "{'loss': 0.1205, 'grad_norm': 0.8086031675338745, 'learning_rate': 5.658709106984969e-06, 'epoch': 9.72}\n", "{'loss': 0.1225, 'grad_norm': 0.43366023898124695, 'learning_rate': 2.1220159151193635e-06, 'epoch': 9.89}\n", "{'train_runtime': 16717.8313, 'train_samples_per_second': 2.708, 'train_steps_per_second': 0.339, 'train_loss': 0.5991969135540535, 'epoch': 10.0}\n", "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1133/1133 [2:14:26<00:00, 7.12s/it]\n", " chinese ... unsloth/Qwen2-1.5B-Instruct(finetuned)\n", "0 老耿端衷ζžͺοΌŒηœ―ηΌθ΅·δΈ€εͺδΈ‰θ§’ηœΌοΌŒδΈ€ζ‚ζ‰³ζœΊε“δΊ†ζžͺοΌŒε†°ι›Ήθˆ¬ηš„ι‡‘ιΊ»ι›€εŠˆε“©ε•ͺε•¦εΎ€δΈ‹θ½οΌŒι“η ‚ε­εœ¨ζŸ³ζžι—΄ι£ž... ... 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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1.22G/1.22G [02:18<00:00, 8.81MB/s]\n", "README.md: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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" ] } ], "source": [ "!./tune-small-2.sh" ] } ], "metadata": { "accelerator": "GPU", "application/vnd.databricks.v1+notebook": { "dashboards": [], "environmentMetadata": null, "language": "python", "notebookMetadata": { "pythonIndentUnit": 4 }, "notebookName": "07_MAC_+_Qwen2-7B-Instructi_Unsloth_train", "widgets": {} }, "colab": { "gpuType": "T4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", 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