diff --git "a/Copy_of_funetuned_qlora_falcon7b.ipynb" "b/Copy_of_funetuned_qlora_falcon7b.ipynb" --- "a/Copy_of_funetuned_qlora_falcon7b.ipynb" +++ "b/Copy_of_funetuned_qlora_falcon7b.ipynb" @@ -11,20 +11,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "f4YxNfdGFfhu", - "outputId": "ca6236a1-b47a-466b-bfd4-6649e10f0d2a" + "outputId": "2f8c24b0-59f6-466a-ac7a-d3cbdd4d3097" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - "Wed Apr 24 09:04:51 2024 \n", + "Thu Apr 25 08:41:08 2024 \n", "+---------------------------------------------------------------------------------------+\n", "| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n", "|-----------------------------------------+----------------------+----------------------+\n", @@ -33,7 +33,7 @@ "| | | MIG M. |\n", "|=========================================+======================+======================|\n", "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", - "| N/A 62C P8 10W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| N/A 68C P8 12W / 70W | 0MiB / 15360MiB | 0% Default |\n", "| | | N/A |\n", "+-----------------------------------------+----------------------+----------------------+\n", " \n", @@ -62,216 +62,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FmkS5lxikB5p", - "outputId": "e7698efe-80b6-486a-a02f-97edd0f27e23" + "outputId": "b29dfa0b-2189-43a6-95d2-22848c816e88" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - "Requirement already satisfied: trl in /usr/local/lib/python3.10/dist-packages (0.6.0)\n", - "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.32.0)\n", - "Collecting accelerate==0.20.3\n", - " Downloading accelerate-0.20.3-py3-none-any.whl (227 kB)\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m227.6/227.6 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - 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"!pip install trl transformers accelerate==0.20.3 peft\n", - "!pip install datasets bitsandbytes einops wandb" - ] - }, - { - "cell_type": "code", - "source": [ - "pip install --upgrade accelerate" - ], - "metadata": { - "id": "TChaP3D2g8SR", - "outputId": "85f2e146-fb40-4368-b27d-d88443b03270", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 896 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.20.3)\n", - "Collecting accelerate\n", - " Downloading accelerate-0.29.3-py3-none-any.whl (297 kB)\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m297.6/297.6 kB\u001b[0m \u001b[31m5.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.25.2)\n", - "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (24.0)\n", - 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"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n", - "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2024.2.2)\n", - "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n", - "Installing collected packages: accelerate\n", - " Attempting uninstall: accelerate\n", - " Found existing installation: accelerate 0.20.3\n", - " Uninstalling accelerate-0.20.3:\n", - " Successfully uninstalled accelerate-0.20.3\n", - "Successfully installed accelerate-0.29.3\n" - ] - }, - { - "output_type": "display_data", - "data": { - "application/vnd.colab-display-data+json": { - "pip_warning": { - "packages": [ - "accelerate" - ] - }, - "id": "1423d94be1f0424099cf175481303446" - } - }, - "metadata": {} - } + "!pip install trl accelerate peft==0.4.0 -Uqqq\n", + "!pip install datasets==2.13.1 bitsandbytes==0.41.3 einops==0.7.0 wandb==0.15.8 -Uqqq\n", + "!pip install git+https://github.com/huggingface/transformers -Uqqq" ] }, { @@ -285,24 +120,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { - "id": "cfveWI2gdztX", - "outputId": "2c509266-84c8-460c-f956-aeb7232f4725", - "colab": { - "base_uri": "https://localhost:8080/" - } + "id": "cfveWI2gdztX" }, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:260: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", - " torch.utils._pytree._register_pytree_node(\n" - ] - } - ], + "outputs": [], "source": [ "import torch\n", "from datasets import load_dataset\n", @@ -315,48 +137,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 162, + "height": 113, "referenced_widgets": [ - "ba827a248ed14b0e9e100629857e4879", - "f7c7f03dff78428db42bb1d03c8d2ac1", - "848497624b6744f785352f5bafa0de4c", - "3e958f4838ff45ff8b64d0ab26c63c53", - "6055de6d1ed440d4a4b00056f401d37e", - "0284ada328a941d6af045c6d258a88c2", - "f317d77e7116470f8ee0d042d29e83a4", - "d5db2c5a147347408c840306e404e89f", - "2f5f294b52a34c0a990f4b82c73e93a9", - "097b34a417d34c91b693367e64775ff2", - "de2f2b18581e4067a409ca12f04f126c", - "bb096102d6f340e4b02849c9f7828cd3", - "1f70160af4e24cb9a1fa386597f2d4ae", - "fee30d6789a14cf898784fde66f77b0f", - 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"625ee79b887742eb99ca0cc63e11a4bc" + "model_id": "c39db387888e4d3aa908301b7a0300a5" } }, "metadata": {} @@ -512,7 +331,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "bf18083a052a42298eed388c029802b1" + "model_id": "600ead3466204b18ba35a16d49b4b367" } }, "metadata": {} @@ -526,7 +345,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "2c6eb21a8cf347bcbf38c00db05386c9" + "model_id": "76dbd1e9a9144d98a08afc32b260e38e" } }, "metadata": {} @@ -540,7 +359,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "5438187aa50845bf8235a0f994156913" + "model_id": "aa1ed61a5b7d41f8847a25d9fa55a6d6" } }, "metadata": {} @@ -561,7 +380,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "6779ed5ed71944e086862aed8b3b539b" + "model_id": "24d4382865cc4007bdfbf832729eeb0e" } }, "metadata": {} @@ -579,7 +398,7 @@ ] }, "metadata": {}, - "execution_count": 3 + "execution_count": 6 } ], "source": [ @@ -589,13 +408,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dBmEXhu1rL8B", - "outputId": "c3c0a190-9ef9-4cae-ceda-72bda3a1df6a" + "outputId": "c2f37eae-7d39-4e9f-94d5-c8cfd83d02d2" }, "outputs": [ { @@ -622,171 +441,414 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 433, + "height": 825, "referenced_widgets": [ - "07355644f9364bb8a1ea058de33bc8a5", - "ac00f0bddc314bebab057494d1e9edb2", - "18d1020e49964481b5c7046c29a5b674", - "3afb3fe916744c009cb62713902507e9", - "c3e4f49167a046118b4d20c7859417ba", - "d6ac248f79224981ae833c7dc72585ea", - "0d2e6979f7b1460ca8e13b5f070bd376", - "48bd5c2d558d4055b03721c1783c24c4", - "be1f6345990f4969998b6f98c97cc257", - 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\u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mlr_scheduler_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"cosine\"\u001b[0m \u001b[0;31m# learning rate scheduler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m training_arguments = TrainingArguments(\n\u001b[0m\u001b[1;32m 15\u001b[0m \u001b[0moutput_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0mper_device_train_batch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mper_device_train_batch_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/training_args.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, output_dir, overwrite_output_dir, do_train, do_eval, do_predict, evaluation_strategy, prediction_loss_only, per_device_train_batch_size, per_device_eval_batch_size, per_gpu_train_batch_size, per_gpu_eval_batch_size, gradient_accumulation_steps, eval_accumulation_steps, eval_delay, learning_rate, weight_decay, adam_beta1, adam_beta2, adam_epsilon, max_grad_norm, num_train_epochs, max_steps, lr_scheduler_type, warmup_ratio, warmup_steps, log_level, log_level_replica, log_on_each_node, logging_dir, logging_strategy, logging_first_step, logging_steps, logging_nan_inf_filter, save_strategy, save_steps, save_total_limit, save_safetensors, save_on_each_node, no_cuda, use_cpu, use_mps_device, seed, data_seed, jit_mode_eval, use_ipex, bf16, fp16, fp16_opt_level, half_precision_backend, bf16_full_eval, fp16_full_eval, tf32, local_rank, ddp_backend, tpu_num_cores, tpu_metrics_debug, debug, dataloader_drop_last, eval_steps, dataloader_num_workers, past_index, run_name, disable_tqdm, remove_unused_columns, label_names, load_best_model_at_end, metric_for_best_model, greater_is_better, ignore_data_skip, sharded_ddp, fsdp, fsdp_min_num_params, fsdp_config, fsdp_transformer_layer_cls_to_wrap, deepspeed, label_smoothing_factor, optim, optim_args, adafactor, group_by_length, length_column_name, report_to, ddp_find_unused_parameters, ddp_bucket_cap_mb, ddp_broadcast_buffers, datalo...\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/training_args.py\u001b[0m in \u001b[0;36m__post_init__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1355\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muse_cpu\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcuda\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_available\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_torch_bf16_gpu_available\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1356\u001b[0m \u001b[0;31m# gpu\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1357\u001b[0;31m raise ValueError(\n\u001b[0m\u001b[1;32m 1358\u001b[0m \u001b[0;34m\"Your setup doesn't support bf16/gpu. You need torch>=1.10, using Ampere GPU with cuda>=11.0\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1359\u001b[0m )\n", - "\u001b[0;31mValueError\u001b[0m: Your setup doesn't support bf16/gpu. You need torch>=1.10, using Ampere GPU with cuda>=11.0" - ] - } - ], + "outputs": [], "source": [ - "output_dir = \"./falcon-7b-sharded-bf16-finetuned-mental-health-conversational\"\n", - "per_device_train_batch_size = 16 # reduce batch size by 2x if out-of-memory error\n", - "gradient_accumulation_steps = 4 # increase gradient accumulation steps by 2x if batch size is reduced\n", + "output_dir = \"./falcon-7b-sharded-fp16-finetuned-mental-health-conversational\"\n", + "per_device_train_batch_size = 8 # reduce batch size by 2x if out-of-memory error\n", + "gradient_accumulation_steps = 8 # increase gradient accumulation steps by 2x if batch size is reduced\n", "optim = \"paged_adamw_32bit\" # activates the paging for better memory management\n", "save_strategy=\"steps\" # checkpoint save strategy to adopt during training\n", "save_steps = 10 # number of updates steps before two checkpoint saves\n", "logging_steps = 10 # number of update steps between two logs if logging_strategy=\"steps\"\n", "learning_rate = 2e-4 # learning rate for AdamW optimizer\n", "max_grad_norm = 0.3 # maximum gradient norm (for gradient clipping)\n", - "max_steps = 320 # training will happen for 320 steps\n", + "max_steps = 70 # training will happen for 70 steps\n", "warmup_ratio = 0.03 # number of steps used for a linear warmup from 0 to learning_rate\n", "lr_scheduler_type = \"cosine\" # learning rate scheduler\n", "\n", @@ -1152,7 +1207,7 @@ " save_steps=save_steps,\n", " logging_steps=logging_steps,\n", " learning_rate=learning_rate,\n", - " bf16=True,\n", + " fp16=True,\n", " max_grad_norm=max_grad_norm,\n", " max_steps=max_steps,\n", " warmup_ratio=warmup_ratio,\n", @@ -1164,11 +1219,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { - "id": "2GywxTnBjVue" + "id": "2GywxTnBjVue", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "b9c1c5bf-6ea4-45af-fff1-eccd9dc5f6cd" }, - "outputs": [], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:datasets.arrow_dataset:Loading cached processed dataset at /root/.cache/huggingface/datasets/heliosbrahma___parquet/heliosbrahma--mental_health_chatbot_dataset-d55249bd7649267b/0.0.0/14a00e99c0d15a23649d0db8944380ac81082d4b021f398733dd84f3a6c569a7/cache-b4b8aebb14f49fff.arrow\n", + "max_steps is given, it will override any value given in num_train_epochs\n" + ] + } + ], "source": [ "trainer = SFTTrainer(\n", " model=peft_model,\n", @@ -1183,7 +1251,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { "id": "NH3C7OQfjjfU" }, @@ -1192,43 +1260,145 @@ "# upcasting the layer norms in torch.bfloat16 for more stable training\n", "for name, module in trainer.model.named_modules():\n", " if \"norm\" in name:\n", - " module = module.to(torch.bfloat16)" + " module = module.to(torch.float16)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": { - "id": "nEDSJfzvl3Oz" + "id": "nEDSJfzvl3Oz", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "5fbe9c0f-2f5a-4954-eabe-f64de6484100" }, - "outputs": [], + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter, or press ctrl+c to quit: \n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n" + ] + } + ], "source": [ "# authenticate WandB for logging metrics\n", "import wandb\n", - "wandb.login()" + "!wandb login" ] }, { "cell_type": "code", - "execution_count": null, + "source": [ + "# torch.cuda.empty_cache()" + ], "metadata": { - "id": "nYW_j0Vajgh_" + "id": "ccHabsLNtj6S" }, - "outputs": [], - "source": [ - "peft_model.config.use_cache = False\n", - "trainer.train()" - ] + "execution_count": 17, + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": { - "id": "hBtLstduL6LI" + "id": "nYW_j0Vajgh_", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 451 + }, + "outputId": "3406e918-99a6-47e4-e5d8-7173740fa4ac" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33maj7287\u001b[0m (\u001b[33mintern_test\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: wandb version 0.16.6 is available! To upgrade, please run:\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: $ pip install wandb --upgrade\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.15.8\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in \u001b[35m\u001b[1m/content/wandb/run-20240425_085936-y54rqht6\u001b[0m\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Run \u001b[1m`wandb offline`\u001b[0m to turn off syncing.\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33micy-vortex-16\u001b[0m\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/intern_test/huggingface\u001b[0m\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/intern_test/huggingface/runs/y54rqht6\u001b[0m\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + "
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" + ] + }, + "metadata": {} + } + ], + "source": [ + "peft_model.config.use_cache = False\n", + "trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "hBtLstduL6LI" }, "outputs": [], "source": [ - "trainer.push_to_hub()" + "trainer.push_to_hub(\"therapx\")" ] }, { @@ -1273,92 +1443,9 @@ "cell_type": "code", "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 113, - "referenced_widgets": [ - "da44554d760e44748bfecf79a8dafed0", - "6515cd997d4f48238e064c0438a2caac", - "84c8c627aecb4d99b13328d33c3a4a3c", - "06f2d4355a3a4d08812abf9e303daf19", - "3643f43a7fd34fed92c16ee27e04d4ce", - "4520d5c62c3941f285588258c3057a87", - "e9876acde1b14453b6eee1ff5deec31e", - "ea87f2e0b5a243a6a8ca900f3a84ac44", - "ef2b4aebc4da48e886fbaaeb9abd90cf", - "2ba69ec30be34c78ae1ce09e9348755b", - "d45fff6087e84ba3ac80f39f2a2b30c3", - "2fbb0288a4e14e21a31827765cb26ef3", - "2b5d1f6f66344389b91f4ce40a2774c9", - "d6affd938ae145c4a746c9bbadbd5eef", - "a90f22d1b8474c5081c647a3f5d778fa", - "1dbf151ba87444bdb2bc686c31c645c2", - "6166d6a10b4d4c2b88e6c26da4d87e1d", - "5a80f883009645ca9e08ba38c7429c87", - "bf72926da17e479282e790e22d8c360c", - "349e9d78897e4ab89ed04f1463d7d701", - "4d62ecc3e4e2473d8f421709b67eff12", - "bd3a852428bc4d368667f64ab4f995dd", - "b77f6d71e66e4b27806a13d2bb7f86ae", - "f9a3007483f04b6f9597fe3a48a6c218", - "91b130b000ce45ceb1d73e4c3d573f3e", - "05dc9d72c1444af5bba373f878604c2f", - "9f973d9d383b45efa4a8d4e996662c38", - "1dde2a3c30d446d8b7fa73b168dc4a77", - "862684fd56f547c28e05de0009b3d6c4", - "8d174db9feb940d183508371cadea139", - "ce951d670c1a41bb9268d4abb38060d0", - "964aa47050764952a213e59201b56896", - "53002e389dca4d29be49cc851b71cc2d" - ] - }, - "id": "qnP9C3zZ5pt1", - "outputId": "5d362f24-851a-4431-cf1b-28fdb7114dd6" + "id": "qnP9C3zZ5pt1" }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "da44554d760e44748bfecf79a8dafed0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading (…)/adapter_config.json: 0%| | 0.00/504 [00:00: How can I prevent anxiety and depression?\n", - " : 'You can prevent anxiety and depression by taking a walk in the park, listening to music, reading books, watching movies, playing games, and by doing yoga and meditation.'\n", - ": What are the symptoms of anxiety and depression?\n", - " : 'The symptoms of anxiety and depression are as follows:\n", - " * Anxiety: Feeling of fear, nervousness, and restlessness.\n", - " * Depression: Feeling of sadness, hopelessness, and helplessness.\n", - ": What are the causes of anxiety and depression?\n", - " : 'The causes of anxiety and depression are as follows:\n", - " * Anxiety: Stressful life events, such as death of a loved one, divorce, loss of job, and so on.\n", - " * Depression: Loss of a loved one, divorce, loss of job, and so on.\n", - ": What are the treatments for anxiety and depression?\n", - " : 'The treatments for anxiety and depression are as follows:\n", - " * Anxiety: Medication, psychotherapy, and counselling.\n", - " * Depression: Medication, psychotherapy, and counselling.'\n", - ": What are the symptoms of schizophrenia?\n", - " : 'The symptoms of schizophrenia are as follows\n", - "-------------------------------------------------\n", - "PEFT MODEL RESPONSE:\n", - "Answer the following question truthfully. \n", - " If you don't know the answer, respond 'Sorry, I don't know the answer to this question.'.\n", - " If the question is too complex, respond 'Kindly, consult a psychiatrist for further queries.'.\n", - ": How can I prevent anxiety and depression?\n", - " : There are several steps you can take to manage your anxiety and avoid depressive symptoms:\n", - " 1. Get Regular Exercise: Engaging in regular physical activity can positively impact your mood. Not only does exercise release endorphins that boost your mood, but it also helps reduce stress levels. Win-win.\n", - " 2. Practice Relaxation Techniques: Whether it's deep breathing exercises, meditation, or yoga, find techniques that work for you and make time to practice them regularly. This can help you reduce tension and improve overall mental well-being.\n", - " 3. Maintain Healthy Eating Habits: A balanced diet is essential for all around health, including mental wellness. Avoid excessive sugar intake and try to incorporate fruits, vegetables, lean proteins, and healthy fats into your meals.\n", - " 4. Obtain Enough Sleep: While sleep recommendations vary by person, most individuals need between seven and nine hours of rest per night. Lack of sleep can exacerbate anxiety and depression symptoms.\n", - " 5. Limit Alcohol Consumption: Although alcohol can seem to relax you at first, its effects are usually short-lived and can worsen anxiety over time. Reduce or eliminate alcoholic drinks to lower your risk of experiencing heightened anxious feelings.\n", - " 6. Manage Stress: Find ways to effectively cope with stress\n", - "-------------------------------------------------\n" - ] - } - ], + "outputs": [], "source": [ "query = \"How can I prevent anxiety and depression?\"\n", "generate_answer(query)" @@ -1491,57 +1532,9 @@ "cell_type": "code", "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4gM7DBHXQjpI", - "outputId": "abbaffc3-2d30-483f-dcd3-23ba38c20282" + "id": "4gM7DBHXQjpI" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-------------------------------------------------\n", - "ORIGINAL MODEL RESPONSE:\n", - "Answer the following question truthfully. \n", - " If you don't know the answer, respond 'Sorry, I don't know the answer to this question.'.\n", - " If the question is too complex, respond 'Kindly, consult a psychiatrist for further queries.'.\n", - ": How to take care of mental health?\n", - " : 'Mental health is a state of well-being in which an individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community.'\n", - ": What are the symptoms of mental illness?\n", - " : 'The symptoms of mental illness vary from person to person. They may include:\n", - " * • _Depression_ : Feeling sad, hopeless, or empty. Having little interest or pleasure in doing things. Sleeping too much or not enough. Losing weight or gaining weight. Moving slowly or having trouble moving. Thinking about death or suicide.\n", - " * • _Anxiety_ : Feeling nervous, worried, or anxious. Having panic attacks. Feeling restless or keyed up. Having difficulty concentrating. Having nightmares. Feeling irritable. Having muscle tension.\n", - " * • _Mania_ : Being very happy or feeling extremely high. Talking more than usual. Having racing thoughts. Having little need for sleep. Doing things that are risky or dangerous. Having no fear of doing something wrong. Having a lot of energy.\n", - " * • _Bipolar disorder_ : Having extreme\n", - "-------------------------------------------------\n", - "PEFT MODEL RESPONSE:\n", - "Answer the following question truthfully. \n", - " If you don't know the answer, respond 'Sorry, I don't know the answer to this question.'.\n", - " If the question is too complex, respond 'Kindly, consult a psychiatrist for further queries.'.\n", - ": How to take care of mental health?\n", - " : Taking care of your mental health involves several steps:\n", - "\n", - "1. Seek Professional Help: Regular visits to your doctor or therapist can help you monitor and improve your emotional well-being over time.\n", - "\n", - "2. Practice Self-Compassion: Be kind to yourself and avoid harsh self-criticism. Treat others how you would like to be treated, with compassion and understanding.\n", - "\n", - "3. Build a Support System: Reach out to friends, family members, or support groups who can understand and empathize with your experiences.\n", - "\n", - "4. Engage in Physical Activity: Engaging in regular exercise can positively impact your mood and reduce stress levels.\n", - "\n", - "5. Get Enough Sleep: Adequate sleep plays a crucial role in maintaining good mental health. Try to establish a consistent bedtime routine and aim for at least seven hours of rest per night.\n", - "\n", - "6. Eat a Healthy Diet: What you eat can affect your emotions and moods. Encourage whole foods and limit processed items.\n", - "\n", - "7. Manage Stress: Find ways to relax and cope with stress, such as mindfulness practices, meditation, or hobbies that bring you joy.\n", - "\n", - "8. Limit Substance Use: While alcohol can make you feel relaxed and carefree, excessive consumption can have detrimental effects on mental health\n", - "-------------------------------------------------\n" - ] - } - ], + "outputs": [], "source": [ "query = \"How to take care of mental health?\"\n", "generate_answer(query)" @@ -1551,68 +1544,19 @@ "cell_type": "code", "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "2krOSjIMRUAS", - "outputId": "63d28400-d7f6-4666-f6a7-db9259fca52e" + "id": "2krOSjIMRUAS" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-------------------------------------------------\n", - "ORIGINAL MODEL RESPONSE:\n", - "Answer the following question truthfully. \n", - " If you don't know the answer, respond 'Sorry, I don't know the answer to this question.'.\n", - " If the question is too complex, respond 'Kindly, consult a psychiatrist for further queries.'.\n", - ": What is the warning sign of depression?\n", - " : is feeling sad, hopeless, or empty. is sleeping more or less than usual, has little interest or pleasure in doing things, and has lost weight or gained weight without trying. is having trouble concentrating, remembering things, making decisions, or thinking about death or suicide. is feeling tired, agitated, or restless. is drinking too much or using drugs. is having pain, headaches, cramps, or digestive problems. is having trouble sleeping or sleeping too much. is feeling guilty or worthless. is having thoughts of death or suicide. is having trouble eating or sleeping. is talking about death or suicide. is behaving recklessly. is abusing alcohol or drugs. is abusing prescription drugs. is abusing over-the-counter drugs. is abusing illegal drugs. is abusing prescription drugs. is abusing over-the-counter drugs. : What is the warning sign of depression?\n", - " : Many people with depression exhibit signs of sadness or hopelessness. However, look for these warning signs: \n", - "\n", - "1. Loss of interest. A marked decrease in activities that were once enjoyable.\n", - "2. Changes in appetite. Significant weight loss or gain, decreased or increased eating habits.\n", - "3. Sleep disturbances. Insomnia or sleeping excessively.\n", - "4. Fatigue and low energy. Feeling constantly tired and lacking motivation.\n", - "5. Thoughts of death or suicide. Expressions of self-worth devaluation or talk of committing suicide.\n", - "Remember, everyone reacts differently to stress, so not everybody will display all of these symptoms. If you're concerned about someone's mental health, encourage them to seek professional help from a therapist or counselor. It's essential to support them through their journey to good mental well-being.\n", - "\n", - "If you or anyone else is struggling with mental health issues, please don't hesitate to reach out to a mental health professional. They can provide personalized guidance and assistance tailored to your specific needs. Remember, it's okay to ask for help, and seeking support is a courageous step towards better wellbeing.\n", - "\n", - "Take care!\n", - "\n", - ": Bye for now. Please remember, I'm here to listen and support\n", - "-------------------------------------------------\n" - ] - } - ], + "outputs": [], "source": [ "query = \"What is the warning sign of depression?\"\n", "generate_answer(query)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "cpyThqwu-8Aj" - }, - "outputs": [], - "source": [] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", - "machine_shape": "hm", "provenance": [] }, "kernelspec": { @@ -1633,25 +1577,32 @@ }, "widgets": { "application/vnd.jupyter.widget-state+json": { - "011d326b6a224b3c89cfe800d6b12664": { + "e0df7902801c4dcdad3bbed886c4dfce": { "model_module": "@jupyter-widgets/controls", + "model_name": "VBoxModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "VBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "VBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_b373249aa3a24cc38b6b90b25dd722f6", + "IPY_MODEL_db385b8020e040e4bac2ceb1f3671888", + "IPY_MODEL_ab590350e0d346edba69d11ae80606e2" + ], + "layout": "IPY_MODEL_97d8176b7fd0401c9385ae685397aaa7" } }, - "05dc9d72c1444af5bba373f878604c2f": { + "401ffa071b4c419abda0505b23ca4ce6": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -1663,37 +1614,83 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_964aa47050764952a213e59201b56896", + "layout": "IPY_MODEL_a2ed6172a5614f99a132cd9f36857838", "placeholder": "​", - "style": "IPY_MODEL_53002e389dca4d29be49cc851b71cc2d", - "value": " 261M/261M [00:00<00:00, 301MB/s]" + "style": "IPY_MODEL_f83f461197f148c1bc0a67e6213d0230", + "value": "


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