s487194/UGP
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

change base to large

Browse Source
This commit is contained in:
s487194 2024-02-01 03:10:09 +01:00
parent b9f590cf3f
commit 5412489296
1 changed files with 52 additions and 52 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

104
T5_encoder_decoder.ipynb → T5_encoder_decoder-large.ipynb
View File

@ -16,7 +16,7 @@
"accelerator": "GPU", "accelerator": "GPU",
"widgets": { "widgets": {
"application/vnd.jupyter.widget-state+json": { "application/vnd.jupyter.widget-state+json": {
"7cd0b9f562c3497fa8521900361aa1b6": { "4f448c953d694cb1a6f2371044699c53": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel", "model_name": "HBoxModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -31,14 +31,14 @@
"_view_name": "HBoxView", "_view_name": "HBoxView",
"box_style": "", "box_style": "",
"children": [ "children": [
"IPY_MODEL_6a752c40c5ed4a848718fc5515ba3ff6", "IPY_MODEL_a0ebb2e5f804420fa162bcd8d21c1618",
"IPY_MODEL_a3c49c91d53b4a0fbaa06cf9edc53902", "IPY_MODEL_1fa01b1aaf614e8bbb80ea50c1f7e896",
"IPY_MODEL_8f42cebfbb2c44b5b65dc403950ab7b6" "IPY_MODEL_c5ac6f5b66254013961fc4c23fb5b9d0"
], ],
"layout": "IPY_MODEL_66fdc95b84a7421f8394ff0ccabfd4ee" "layout": "IPY_MODEL_3df8072a2c5d49768645de6a469cfaac"
} }
}, },
"6a752c40c5ed4a848718fc5515ba3ff6": { "a0ebb2e5f804420fa162bcd8d21c1618": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel", "model_name": "HTMLModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -53,13 +53,13 @@
"_view_name": "HTMLView", "_view_name": "HTMLView",
"description": "", "description": "",
"description_tooltip": null, "description_tooltip": null,
"layout": "IPY_MODEL_bab672d9adef477a8d6db292e5217ae2", "layout": "IPY_MODEL_978d779455244554a0c218f6d35a3c42",
"placeholder": "​", "placeholder": "​",
"style": "IPY_MODEL_bb31a82ad4df4a0bbdcdc7fee5c333f0", "style": "IPY_MODEL_e16ed92825334d56bcba384f6f0c97f8",
"value": "Map: 100%" "value": "Map: 100%"
} }
}, },
"a3c49c91d53b4a0fbaa06cf9edc53902": { "1fa01b1aaf614e8bbb80ea50c1f7e896": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel", "model_name": "FloatProgressModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -75,15 +75,15 @@
"bar_style": "success", "bar_style": "success",
"description": "", "description": "",
"description_tooltip": null, "description_tooltip": null,
"layout": "IPY_MODEL_44645ba3efc546949f8de88a69109319", "layout": "IPY_MODEL_f7485d8be1a147e4abead66435df3d42",
"max": 1024, "max": 1024,
"min": 0, "min": 0,
"orientation": "horizontal", "orientation": "horizontal",
"style": "IPY_MODEL_e2d98d9e52f5402db83ac5290b6b5e66", "style": "IPY_MODEL_10e58cef76084e7085256f88b002e043",
"value": 1024 "value": 1024
} }
}, },
"8f42cebfbb2c44b5b65dc403950ab7b6": { "c5ac6f5b66254013961fc4c23fb5b9d0": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel", "model_name": "HTMLModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -98,13 +98,13 @@
"_view_name": "HTMLView", "_view_name": "HTMLView",
"description": "", "description": "",
"description_tooltip": null, "description_tooltip": null,
"layout": "IPY_MODEL_24cca48948be45779949b96cd63a70c8", "layout": "IPY_MODEL_17ae8ff247d54a8eb5799d5d1b2be5a5",
"placeholder": "​", "placeholder": "​",
"style": "IPY_MODEL_8647bedfaa684f139d3534552a3fb493", "style": "IPY_MODEL_71deaf885bf149bc85c529738585965e",
"value": " 1024/1024 [00:00<00:00, 1828.40 examples/s]" "value": " 1024/1024 [00:00<00:00, 3663.19 examples/s]"
} }
}, },
"66fdc95b84a7421f8394ff0ccabfd4ee": { "3df8072a2c5d49768645de6a469cfaac": {
"model_module": "@jupyter-widgets/base", "model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel", "model_name": "LayoutModel",
"model_module_version": "1.2.0", "model_module_version": "1.2.0",
@ -156,7 +156,7 @@
"width": null "width": null
} }
}, },
"bab672d9adef477a8d6db292e5217ae2": { "978d779455244554a0c218f6d35a3c42": {
"model_module": "@jupyter-widgets/base", "model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel", "model_name": "LayoutModel",
"model_module_version": "1.2.0", "model_module_version": "1.2.0",
@ -208,7 +208,7 @@
"width": null "width": null
} }
}, },
"bb31a82ad4df4a0bbdcdc7fee5c333f0": { "e16ed92825334d56bcba384f6f0c97f8": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel", "model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -223,7 +223,7 @@
"description_width": "" "description_width": ""
} }
}, },
"44645ba3efc546949f8de88a69109319": { "f7485d8be1a147e4abead66435df3d42": {
"model_module": "@jupyter-widgets/base", "model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel", "model_name": "LayoutModel",
"model_module_version": "1.2.0", "model_module_version": "1.2.0",
@ -275,7 +275,7 @@
"width": null "width": null
} }
}, },
"e2d98d9e52f5402db83ac5290b6b5e66": { "10e58cef76084e7085256f88b002e043": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel", "model_name": "ProgressStyleModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -291,7 +291,7 @@
"description_width": "" "description_width": ""
} }
}, },
"24cca48948be45779949b96cd63a70c8": { "17ae8ff247d54a8eb5799d5d1b2be5a5": {
"model_module": "@jupyter-widgets/base", "model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel", "model_name": "LayoutModel",
"model_module_version": "1.2.0", "model_module_version": "1.2.0",
@ -343,7 +343,7 @@
"width": null "width": null
} }
}, },
"8647bedfaa684f139d3534552a3fb493": { "71deaf885bf149bc85c529738585965e": {
"model_module": "@jupyter-widgets/controls", "model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel", "model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0", "model_module_version": "1.5.0",
@ -372,7 +372,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "0ju_uJOjZLE3", "id": "0ju_uJOjZLE3",
"outputId": "b3836512-aed0-4e7f-81c8-895d595b589a" "outputId": "d05040a2-b04c-4b88-e616-c88a9c47895a"
}, },
"execution_count": 1, "execution_count": 1,
"outputs": [ "outputs": [
@ -459,7 +459,7 @@
"colab": { "colab": {
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"outputId": "d34d1f53-77af-4e37-d501-f8144ad417e0" "outputId": "47c03859-2c6b-4855-a995-e08e8bcd5140"
}, },
"execution_count": 3, "execution_count": 3,
"outputs": [ "outputs": [
@ -480,7 +480,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "source": [
"model_name = \"t5-base\"\n", "model_name = \"t5-large\"\n",
"tokenizer = AutoTokenizer.from_pretrained(model_name, model_max_length = 128)\n", "tokenizer = AutoTokenizer.from_pretrained(model_name, model_max_length = 128)\n",
"\n", "\n",
"def tokenize_function(examples):\n", "def tokenize_function(examples):\n",
@ -495,21 +495,21 @@
"base_uri": "https://localhost:8080/", "base_uri": "https://localhost:8080/",
"height": 49, "height": 49,
"referenced_widgets": [ "referenced_widgets": [
"7cd0b9f562c3497fa8521900361aa1b6", "4f448c953d694cb1a6f2371044699c53",
"6a752c40c5ed4a848718fc5515ba3ff6", "a0ebb2e5f804420fa162bcd8d21c1618",
"a3c49c91d53b4a0fbaa06cf9edc53902", "1fa01b1aaf614e8bbb80ea50c1f7e896",
"8f42cebfbb2c44b5b65dc403950ab7b6", "c5ac6f5b66254013961fc4c23fb5b9d0",
"66fdc95b84a7421f8394ff0ccabfd4ee", "3df8072a2c5d49768645de6a469cfaac",
"bab672d9adef477a8d6db292e5217ae2", "978d779455244554a0c218f6d35a3c42",
"bb31a82ad4df4a0bbdcdc7fee5c333f0", "e16ed92825334d56bcba384f6f0c97f8",
"44645ba3efc546949f8de88a69109319", "f7485d8be1a147e4abead66435df3d42",
"e2d98d9e52f5402db83ac5290b6b5e66", "10e58cef76084e7085256f88b002e043",
"24cca48948be45779949b96cd63a70c8", "17ae8ff247d54a8eb5799d5d1b2be5a5",
"8647bedfaa684f139d3534552a3fb493" "71deaf885bf149bc85c529738585965e"
] ]
}, },
"id": "zFaiMEblaTFy", "id": "zFaiMEblaTFy",
"outputId": "d397d1d4-6b4d-4913-de53-788d2d4c698c" "outputId": "da51b9d9-f4ed-4518-9a4e-d8eeb5267de6"
}, },
"execution_count": 4, "execution_count": 4,
"outputs": [ "outputs": [
@ -522,7 +522,7 @@
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0,
"model_id": "7cd0b9f562c3497fa8521900361aa1b6" "model_id": "4f448c953d694cb1a6f2371044699c53"
} }
}, },
"metadata": {} "metadata": {}
@ -540,7 +540,7 @@
"colab": { "colab": {
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"outputId": "75930083-b0a0-4f4c-840d-35222e898719" "outputId": "f886b927-e3a2-48dd-9c88-200c20f841d9"
}, },
"execution_count": 5, "execution_count": 5,
"outputs": [ "outputs": [
@ -548,7 +548,7 @@
"output_type": "stream", "output_type": "stream",
"name": "stderr", "name": "stderr",
"text": [ "text": [
"Some weights of T5ForSequenceClassification were not initialized from the model checkpoint at t5-base and are newly initialized: ['classification_head.out_proj.bias', 'classification_head.out_proj.weight', 'classification_head.dense.weight', 'classification_head.dense.bias']\n", "Some weights of T5ForSequenceClassification were not initialized from the model checkpoint at t5-large and are newly initialized: ['classification_head.out_proj.weight', 'classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias']\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
] ]
} }
@ -572,19 +572,19 @@
"metadata": { "metadata": {
"id": "hpRwZ0QhrV92" "id": "hpRwZ0QhrV92"
}, },
"execution_count": 44, "execution_count": 6,
"outputs": [] "outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "source": [
"train_arguments = TrainingArguments(num_train_epochs=1, per_device_train_batch_size=32, output_dir=\"./Output\", evaluation_strategy=\"epoch\",)\n", "train_arguments = TrainingArguments(num_train_epochs=1, per_device_train_batch_size=8, output_dir=\"./Output\", evaluation_strategy=\"epoch\",)\n",
"trainer=Trainer(model=model, args=train_arguments, train_dataset=tokenized_dataset_train, eval_dataset=tokenized_dataset_eval, compute_metrics=compute_metrics)" "trainer=Trainer(model=model, args=train_arguments, train_dataset=tokenized_dataset_train, eval_dataset=tokenized_dataset_eval, compute_metrics=compute_metrics)"
], ],
"metadata": { "metadata": {
"id": "P4hpYtvHbRex" "id": "P4hpYtvHbRex"
}, },
"execution_count": 45, "execution_count": 11,
"outputs": [] "outputs": []
}, },
{ {
@ -598,9 +598,9 @@
"base_uri": "https://localhost:8080/", "base_uri": "https://localhost:8080/",
"height": 141 "height": 141
}, },
"outputId": "ed0f490c-f168-4382-8211-c05ee12be011" "outputId": "7ec665e1-1db5-49ee-a482-13ca53836418"
}, },
"execution_count": 46, "execution_count": 12,
"outputs": [ "outputs": [
{ {
"output_type": "display_data", "output_type": "display_data",
@ -612,8 +612,8 @@
"\n", "\n",
" <div>\n", " <div>\n",
" \n", " \n",
" <progress value='158' max='158' style='width:300px; height:20px; vertical-align: middle;'></progress>\n", " <progress value='632' max='632' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" [158/158 04:34, Epoch 1/1]\n", " [632/632 18:44, Epoch 1/1]\n",
" </div>\n", " </div>\n",
" <table border=\"1\" class=\"dataframe\">\n", " <table border=\"1\" class=\"dataframe\">\n",
" <thead>\n", " <thead>\n",
@ -627,9 +627,9 @@
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>No log</td>\n", " <td>0.453600</td>\n",
" <td>1.616516</td>\n", " <td>0.352671</td>\n",
" <td>0.888672</td>\n", " <td>0.904297</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table><p>" "</table><p>"
@ -641,11 +641,11 @@
"output_type": "execute_result", "output_type": "execute_result",
"data": { "data": {
"text/plain": [ "text/plain": [
"TrainOutput(global_step=158, training_loss=0.03489681135250043, metrics={'train_runtime': 276.2183, 'train_samples_per_second': 18.29, 'train_steps_per_second': 0.572, 'total_flos': 771417209622528.0, 'train_loss': 0.03489681135250043, 'epoch': 1.0})" "TrainOutput(global_step=632, training_loss=0.4112016822718367, metrics={'train_runtime': 1126.6685, 'train_samples_per_second': 4.484, 'train_steps_per_second': 0.561, 'total_flos': 2738543023411200.0, 'train_loss': 0.4112016822718367, 'epoch': 1.0})"
] ]
}, },
"metadata": {}, "metadata": {},
"execution_count": 46 "execution_count": 12
} }
] ]
} }