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"ff4070cf08aa4ecc970211bcfc1f5057", "b9d52e5f0ba744dd8788ed147259901d" ] }, "id": "EVEotZX8s-v6", "outputId": "57a41019-6afc-4ca1-eb19-971776ba1a3a" }, "execution_count": 3, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "tokenizer_config.json: 0%| | 0.00/33.6k [00:00\"\n", " return [text]\n", "formatting_func(data[\"train\"])" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0dIbtwGkbXuC", "outputId": "f7f5905f-61de-48b2-d1e1-5695e9a26fcc" }, "execution_count": 14, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "['Quote: “Be yourself; everyone else is already taken.”\\nAuthor: Oscar Wilde']" ] }, "metadata": {}, "execution_count": 14 } ] }, { "cell_type": "code", "source": [ "import transformers\n", "from trl import SFTTrainer\n", "\n", "trainer = SFTTrainer(\n", " model=model,\n", " train_dataset=data[\"train\"],\n", " args=transformers.TrainingArguments(\n", " per_device_train_batch_size=1,\n", " gradient_accumulation_steps=4,\n", " warmup_steps=2,\n", " max_steps=10,\n", " # Copied from other hugging face tuning blog posts\n", " learning_rate=2e-4,\n", " fp16=True,\n", " # It makes training faster\n", " logging_steps=1,\n", " output_dir=\"outputs\",\n", " optim=\"paged_adamw_8bit\"\n", " ),\n", " peft_config=lora_config,\n", " formatting_func=formatting_func,\n", " packing=False\n", ")\n", "trainer.train()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 493, "referenced_widgets": [ "d81990176ee741ebb769b78187b13283", "844d426586184d9fbdead0d27e7d037f", "ad68d14918514c13bb92f8322b525f7f", "fc9a49f0d91843e0a4e0f501c1ac860e", "7194b81c717948de9d7b20b242645e23", "424a7aab3bcc44c9bbe20e60678400c5", "05f153bc22044c24aaf065e86b9d2dcc", "c819ea5882c945ec92fc85fe6a57763a", "d8ab3691c9264c2e809db827b5cd1217", "fa9bef05c4854c5da0c939d3676a37bf", "1ac0a20021f8412cb0871727dc2e363e" ] }, "id": "HFbR2FIgVfiT", "outputId": "f11ffc9a-4575-4f5f-f53e-04616d1c3559" }, "execution_count": 15, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Map: 0%| | 0/2508 [00:00" ], "text/html": [ "\n", "
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StepTraining Loss
11.648200
20.589300
30.860300
40.492400
50.256000
60.571400
70.507400
80.158200
90.311700
100.313600

" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ "TrainOutput(global_step=10, training_loss=0.5708462700247765, metrics={'train_runtime': 19.7312, 'train_samples_per_second': 2.027, 'train_steps_per_second': 0.507, 'total_flos': 22068999997440.0, 'train_loss': 0.5708462700247765, 'epoch': 6.67})" ] }, "metadata": {}, "execution_count": 15 } ] }, { "cell_type": "code", "source": [ "text = \"Quote: Imagination is\"\n", "device = \"cuda:0\"\n", "inputs = tokenizer(text, return_tensors=\"pt\").to(device)\n", "outputs = model.generate(**inputs, max_new_tokens=20)" ], "metadata": { "id": "f5Mim0lNViwe" }, "execution_count": 16, "outputs": [] }, { "cell_type": "code", "source": [ "print(tokenizer.decode(outputs[0], skip_special_tokens=True))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "z7Mz7mMFXQCO", "outputId": "08da79ba-02d9-4a2e-b579-385f40d0fe06" }, "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Quote: Imagination is more important than knowledge.\n", "Author: Albert Einstein\n" ] } ] }, { "cell_type": "code", "source": [ "trainer.save_model(\"gemma_ft_saved\")" ], "metadata": { "id": "djg3QAMuVx8R" }, "execution_count": 13, "outputs": [] } ] }