diff --git "a/.ipynb_checkpoints/phi-2-custom-checkpoint.ipynb" "b/.ipynb_checkpoints/phi-2-custom-checkpoint.ipynb" --- "a/.ipynb_checkpoints/phi-2-custom-checkpoint.ipynb" +++ "b/.ipynb_checkpoints/phi-2-custom-checkpoint.ipynb" @@ -547,7 +547,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 26, "id": "18d5599f-992d-4d8e-a90c-4d43774be473", "metadata": {}, "outputs": [ @@ -555,19 +555,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "trainable params: 7,864,320 || all params: 2,787,548,160 || trainable%: 0.2821231974697076\n" + "trainable params: 18,350,080 || all params: 2,798,033,920 || trainable%: 0.6558204984162593\n" ] } ], "source": [ - "config = LoraConfig(\n", - " r=16,\n", - " lora_alpha=16,\n", - " target_modules=[\"q_proj\",\"k_proj\",\"v_proj\"],\n", - " lora_dropout=0.05,\n", - " bias=\"none\",\n", - " task_type=\"CAUSAL_LM\"\n", - ")\n", + "# config = LoraConfig(\n", + "# r=16,\n", + "# lora_alpha=16,\n", + "# #target_modules=[\"q_proj\",\"k_proj\",\"v_proj\"],\n", + "# lora_dropout=0.05,\n", + "# bias=\"none\",\n", + "# task_type=\"CAUSAL_LM\"\n", + "# )\n", "\n", "model = get_peft_model(model, config)\n", "model.print_trainable_parameters()" @@ -575,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 27, "id": "baeee903-3dce-48b2-93c3-7a697d8c6daf", "metadata": {}, "outputs": [], @@ -587,10 +587,20 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 28, "id": "28a9b24a-a822-4fcb-96b3-d77b7ea30a5f", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "To disable this warning, you can either:\n", + "\t- Avoid using `tokenizers` before the fork if possible\n", + "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -609,7 +619,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 29, "id": "1ee7fd2a-38e4-4f23-a978-0bdeeda64d8b", "metadata": {}, "outputs": [], @@ -624,7 +634,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "id": "e84c29e2-843e-42c2-8c0f-324d392e671c", "metadata": {}, "outputs": [ @@ -632,7 +642,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Tokenizing data: 100%|██████████| 16412/16412 [00:02<00:00, 6502.58 examples/s]\n" + "Tokenizing data: 100%|██████████| 16412/16412 [00:02<00:00, 7265.30 examples/s]\n" ] }, { @@ -644,7 +654,7 @@ "})" ] }, - "execution_count": 17, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -659,7 +669,7 @@ }, { "cell_type": "code", - 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100 | \n", - "1.473100 | \n", + "1.317300 | \n", "
200 | \n", - "1.236100 | \n", + "1.162700 | \n", "
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500 | \n", - "1.177800 | \n", + "1.111000 | \n", "
600 | \n", - "1.150500 | \n", + "1.088400 | \n", "
700 | \n", - "1.178100 | \n", + "1.122100 | \n", "
800 | \n", - "1.166400 | \n", + "1.102400 | \n", "
900 | \n", - "1.138400 | \n", + "1.067200 | \n", "
1000 | \n", - "1.144000 | \n", + "1.079000 | \n", "
1100 | \n", - "1.163300 | \n", + "1.097900 | \n", "
" @@ -987,13 +972,20 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Checkpoint destination directory ./checkpoint-1100 already exists and is non-empty.Saving will proceed but saved results may be invalid.\n" + ] + }, { "data": { "text/plain": [ - "TrainOutput(global_step=1100, training_loss=1.200930439342152, metrics={'train_runtime': 208.0362, 'train_samples_per_second': 21.15, 'train_steps_per_second': 5.288, 'total_flos': 3.5907056959488e+16, 'train_loss': 1.200930439342152, 'epoch': 0.27})" + "TrainOutput(global_step=1100, training_loss=1.1277108417857777, metrics={'train_runtime': 773.3658, 'train_samples_per_second': 5.689, 'train_steps_per_second': 1.422, 'total_flos': 3.6048790880256e+16, 'train_loss': 1.1277108417857777, 'epoch': 0.27})" ] }, - "execution_count": 23, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1010,7 +1002,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 35, "id": "263cc15e-8e9d-4bd8-9708-ec1638bc1165", "metadata": {}, "outputs": [ @@ -1018,9 +1010,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.34s/it]\n", - "adapter_config.json: 100%|██████████| 592/592 [00:00<00:00, 3.99MB/s]\n", - "adapter_model.safetensors: 100%|██████████| 31.5M/31.5M [00:00<00:00, 117MB/s]\n" + "Loading checkpoint shards: 100%|██████████| 2/2 [00:03<00:00, 1.90s/it]\n", + "adapter_config.json: 100%|██████████| 613/613 [00:00<00:00, 3.83MB/s]\n", + "adapter_model.safetensors: 100%|██████████| 73.4M/73.4M [00:00<00:00, 110MB/s]\n" ] }, { @@ -1054,7 +1046,7 @@ ")" ] }, - "execution_count": 24, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1071,7 +1063,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "id": "8eef4f4f-52da-4ba9-8a22-2b7874420562", "metadata": { "scrolled": true @@ 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"CommitInfo(commit_url='https://huggingface.co/aissatoubalde/lab/commit/ace487baa5fad11e4db877befddf6897744d7e1d', commit_message='Upload PhiForCausalLM', commit_description='', oid='ace487baa5fad11e4db877befddf6897744d7e1d', pr_url=None, pr_revision=None, pr_num=None)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" } ], "source": [