,\n",
" 'label': 16,\n",
" 'pixel_values': tensor([[[-1.2617, -1.5185, -1.5528, ..., 1.4954, 1.4612, 1.4269],\n",
" [-1.3987, -1.6213, -1.7240, ..., 1.5810, 1.4954, 1.3927],\n",
" [-1.5528, -1.7412, -1.8610, ..., 1.6153, 1.4954, 1.3927],\n",
" ...,\n",
" [-0.1999, -0.1314, 0.2624, ..., -1.2788, -2.0494, -2.1008],\n",
" [-0.1486, 0.0912, 0.2624, ..., -1.9124, -2.1179, -2.1179],\n",
" [ 0.0912, 0.3652, -0.0287, ..., -2.0837, -2.0837, -2.0837]],\n",
" \n",
" [[-1.6155, -1.7381, -1.7206, ..., 1.8683, 1.9034, 1.8859],\n",
" [-1.6681, -1.7556, -1.7906, ..., 1.9734, 1.9384, 1.8683],\n",
" [-1.7206, -1.7731, -1.8431, ..., 2.0084, 1.9384, 1.8683],\n",
" ...,\n",
" [-1.0028, -0.8803, -0.4076, ..., -1.4405, -1.9832, -2.0007],\n",
" [-1.0203, -0.6527, -0.3725, ..., -1.9307, -2.0007, -2.0007],\n",
" [-0.8102, -0.3901, -0.6527, ..., -2.0007, -2.0357, -2.0357]],\n",
" \n",
" [[-1.6302, -1.6476, -1.5430, ..., 2.4134, 2.3960, 2.4308],\n",
" [-1.6476, -1.6127, -1.5953, ..., 2.4831, 2.4483, 2.4134],\n",
" [-1.6302, -1.5953, -1.6476, ..., 2.5354, 2.4657, 2.4308],\n",
" ...,\n",
" [-1.0027, -0.8458, -0.3578, ..., -1.2119, -1.7870, -1.7870],\n",
" [-1.0027, -0.6367, -0.3404, ..., -1.6999, -1.7870, -1.7870],\n",
" [-0.7936, -0.3927, -0.6715, ..., -1.7347, -1.7522, -1.7696]]])}"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val_ds[0]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6kWX62m7Gx4J"
},
"source": [
"#Training the Model"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WzpTUWMNGSby",
"outputId": "c59ba11e-c14c-42bb-cc2f-4983bbec18b1"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"loading configuration file https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/178056cca478a6b3b8b21c3061640be925c1322d8c46a921597213072f0fd7c9.3369bff2a703a988dc4c5cc8ff8558ceb3b15b0da4bd3096b946ae9ef2e52d0c\n",
"Model config SwinConfig {\n",
" \"_name_or_path\": \"microsoft/swin-base-patch4-window7-224-in22k\",\n",
" \"architectures\": [\n",
" \"SwinForImageClassification\"\n",
" ],\n",
" \"attention_probs_dropout_prob\": 0.0,\n",
" \"depths\": [\n",
" 2,\n",
" 2,\n",
" 18,\n",
" 2\n",
" ],\n",
" \"drop_path_rate\": 0.1,\n",
" \"embed_dim\": 128,\n",
" \"encoder_stride\": 32,\n",
" \"hidden_act\": \"gelu\",\n",
" \"hidden_dropout_prob\": 0.0,\n",
" \"hidden_size\": 1024,\n",
" \"id2label\": {\n",
" \"0\": \"burger\",\n",
" \"1\": \"butter_naan\",\n",
" \"10\": \"kaathi_rolls\",\n",
" \"11\": \"kadai_paneer\",\n",
" \"12\": \"kulfi\",\n",
" \"13\": \"masala_dosa\",\n",
" \"14\": \"momos\",\n",
" \"15\": \"paani_puri\",\n",
" \"16\": \"pakode\",\n",
" \"17\": \"pav_bhaji\",\n",
" \"18\": \"pizza\",\n",
" \"19\": \"samosa\",\n",
" \"2\": \"chai\",\n",
" \"3\": \"chapati\",\n",
" \"4\": \"chole_bhature\",\n",
" \"5\": \"dal_makhani\",\n",
" \"6\": \"dhokla\",\n",
" \"7\": \"fried_rice\",\n",
" \"8\": \"idli\",\n",
" \"9\": \"jalebi\"\n",
" },\n",
" \"image_size\": 224,\n",
" \"initializer_range\": 0.02,\n",
" \"label2id\": {\n",
" \"burger\": \"0\",\n",
" \"butter_naan\": \"1\",\n",
" \"chai\": \"2\",\n",
" \"chapati\": \"3\",\n",
" \"chole_bhature\": \"4\",\n",
" \"dal_makhani\": \"5\",\n",
" \"dhokla\": \"6\",\n",
" \"fried_rice\": \"7\",\n",
" \"idli\": \"8\",\n",
" \"jalebi\": \"9\",\n",
" \"kaathi_rolls\": \"10\",\n",
" \"kadai_paneer\": \"11\",\n",
" \"kulfi\": \"12\",\n",
" \"masala_dosa\": \"13\",\n",
" \"momos\": \"14\",\n",
" \"paani_puri\": \"15\",\n",
" \"pakode\": \"16\",\n",
" \"pav_bhaji\": \"17\",\n",
" \"pizza\": \"18\",\n",
" \"samosa\": \"19\"\n",
" },\n",
" \"layer_norm_eps\": 1e-05,\n",
" \"mlp_ratio\": 4.0,\n",
" \"model_type\": \"swin\",\n",
" \"num_channels\": 3,\n",
" \"num_heads\": [\n",
" 4,\n",
" 8,\n",
" 16,\n",
" 32\n",
" ],\n",
" \"num_layers\": 4,\n",
" \"patch_size\": 4,\n",
" \"path_norm\": true,\n",
" \"qkv_bias\": true,\n",
" \"torch_dtype\": \"float32\",\n",
" \"transformers_version\": \"4.21.2\",\n",
" \"use_absolute_embeddings\": false,\n",
" \"window_size\": 7\n",
"}\n",
"\n",
"loading weights file https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/7f6ee5ce69bf922ef516fbcaf29909d836c803d3ab6af9cc1d648c8590c7cf56.e7293eb0f2c48b9a219ecd7e97268247c581b1464747280439fddbb55a1bfd21\n",
"All model checkpoint weights were used when initializing SwinForImageClassification.\n",
"\n",
"Some weights of SwinForImageClassification were not initialized from the model checkpoint at microsoft/swin-base-patch4-window7-224-in22k and are newly initialized because the shapes did not match:\n",
"- classifier.weight: found shape torch.Size([21841, 1024]) in the checkpoint and torch.Size([20, 1024]) in the model instantiated\n",
"- classifier.bias: found shape torch.Size([21841]) in the checkpoint and torch.Size([20]) in the model instantiated\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
]
}
],
"source": [
"\n",
"\n",
"from transformers import SwinForImageClassification\n",
"model_name_or_path = \"microsoft/swin-base-patch4-window7-224-in22k\"\n",
"model = SwinForImageClassification.from_pretrained(\n",
" model_name_or_path,\n",
" num_labels = len(labels),\n",
" id2label = {str(i):c for i, c in enumerate(labels)},\n",
" label2id = {c:str(i) for i,c in enumerate(labels)}, ignore_mismatched_sizes=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "EdS_BcrlI74y",
"outputId": "17a63467-977e-41fb-97f5-8ea95d084f03"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"PyTorch: setting up devices\n"
]
}
],
"source": [
"#Setting up the training Arguments\n",
"\n",
"\n",
"\n",
"from transformers import TrainingArguments\n",
"\n",
"training_args = TrainingArguments(\n",
" \"DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\",\n",
" per_device_train_batch_size = 16,\n",
" evaluation_strategy = \"steps\",\n",
" num_train_epochs = 10,\n",
" fp16 = True,\n",
" save_steps =100,\n",
" eval_steps = 100,\n",
" logging_steps =10,\n",
" learning_rate = 2e-4,\n",
" save_total_limit = 2,\n",
" remove_unused_columns = False,\n",
" push_to_hub = True,\n",
" report_to = \"tensorboard\",\n",
" load_best_model_at_end = True,\n",
" hub_strategy = \"end\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "iMNnJ4H0Nbm8"
},
"outputs": [],
"source": [
"# Defining a fucntion for Computing accuracy on a batch of predictions\n",
"\n",
"import numpy as np\n",
"\n",
"def compute_metrics(eval_pred):\n",
" predictions = np.argmax(eval_pred.predictions, axis=1)\n",
" return metric.compute(predictions = predictions, references = eval_pred.label_ids)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "T2WMFEAXPx-4"
},
"outputs": [],
"source": [
"import torch\n",
"\n",
"def collate_fn(batch):\n",
" \"\"\"batches examples together\"\"\"\n",
" return {\n",
" \"pixel_values\": torch.stack([x[\"pixel_values\"] for x in batch]),\n",
" \"labels\": torch.tensor([x[\"label\"] for x in batch])\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "affQrIoIRn81",
"outputId": "e1b144b0-f7f1-4d0c-f768-b7720d6250ed"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/content/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3 is already a clone of https://huggingface.co/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3. Make sure you pull the latest changes with `repo.git_pull()`.\n",
"WARNING:huggingface_hub.repository:/content/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3 is already a clone of https://huggingface.co/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3. Make sure you pull the latest changes with `repo.git_pull()`.\n",
"Using cuda_amp half precision backend\n"
]
}
],
"source": [
"from transformers import Trainer\n",
"\n",
"trainer = Trainer(\n",
" model,\n",
" training_args,\n",
" train_dataset = train_ds,\n",
" eval_dataset = val_ds,\n",
" tokenizer = feature_extractor,\n",
" compute_metrics = compute_metrics,\n",
" data_collator = collate_fn\n",
"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"background_save": true,
"base_uri": "https://localhost:8080/",
"height": 1000,
"referenced_widgets": [
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},
"id": "amdY6dx9SWqA",
"outputId": "1ddfc996-6587-444c-9687-9c2820d18048"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.7/dist-packages/transformers/optimization.py:310: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
" FutureWarning,\n",
"***** Running training *****\n",
" Num examples = 5328\n",
" Num Epochs = 10\n",
" Instantaneous batch size per device = 16\n",
" Total train batch size (w. parallel, distributed & accumulation) = 16\n",
" Gradient Accumulation steps = 1\n",
" Total optimization steps = 3330\n"
]
},
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
"
\n",
" [3330/3330 1:12:38, Epoch 10/10]\n",
"
\n",
" \n",
" \n",
" | Step | \n",
" Training Loss | \n",
" Validation Loss | \n",
" Accuracy | \n",
"
\n",
" \n",
" \n",
" \n",
" | 100 | \n",
" 0.951100 | \n",
" 0.609232 | \n",
" 0.817216 | \n",
"
\n",
" \n",
" | 200 | \n",
" 0.621400 | \n",
" 0.440575 | \n",
" 0.867163 | \n",
"
\n",
" \n",
" | 300 | \n",
" 0.735500 | \n",
" 0.366491 | \n",
" 0.892667 | \n",
"
\n",
" \n",
" | 400 | \n",
" 0.607800 | \n",
" 0.328454 | \n",
" 0.906482 | \n",
"
\n",
" \n",
" | 500 | \n",
" 0.439000 | \n",
" 0.385495 | \n",
" 0.891605 | \n",
"
\n",
" \n",
" | 600 | \n",
" 0.364400 | \n",
" 0.408172 | \n",
" 0.896918 | \n",
"
\n",
" \n",
" | 700 | \n",
" 0.474800 | \n",
" 0.349617 | \n",
" 0.902232 | \n",
"
\n",
" \n",
" | 800 | \n",
" 0.396600 | \n",
" 0.362629 | \n",
" 0.890542 | \n",
"
\n",
" \n",
" | 900 | \n",
" 0.579900 | \n",
" 0.483283 | \n",
" 0.876727 | \n",
"
\n",
" \n",
" | 1000 | \n",
" 0.299500 | \n",
" 0.338673 | \n",
" 0.904357 | \n",
"
\n",
" \n",
" | 1100 | \n",
" 0.315200 | \n",
" 0.373936 | \n",
" 0.909671 | \n",
"
\n",
" \n",
" | 1200 | \n",
" 0.328400 | \n",
" 0.421682 | \n",
" 0.891605 | \n",
"
\n",
" \n",
" | 1300 | \n",
" 0.363100 | \n",
" 0.411845 | \n",
" 0.904357 | \n",
"
\n",
" \n",
" | 1400 | \n",
" 0.219000 | \n",
" 0.372110 | \n",
" 0.913921 | \n",
"
\n",
" \n",
" | 1500 | \n",
" 0.287400 | \n",
" 0.303036 | \n",
" 0.928799 | \n",
"
\n",
" \n",
" | 1600 | \n",
" 0.281900 | \n",
" 0.405619 | \n",
" 0.914984 | \n",
"
\n",
" \n",
" | 1700 | \n",
" 0.175500 | \n",
" 0.403927 | \n",
" 0.909671 | \n",
"
\n",
" \n",
" | 1800 | \n",
" 0.246200 | \n",
" 0.355047 | \n",
" 0.911796 | \n",
"
\n",
" \n",
" | 1900 | \n",
" 0.173700 | \n",
" 0.344433 | \n",
" 0.914984 | \n",
"
\n",
" \n",
" | 2000 | \n",
" 0.174000 | \n",
" 0.366671 | \n",
" 0.916047 | \n",
"
\n",
" \n",
" | 2100 | \n",
" 0.153600 | \n",
" 0.330077 | \n",
" 0.928799 | \n",
"
\n",
" \n",
" | 2200 | \n",
" 0.091100 | \n",
" 0.339013 | \n",
" 0.929862 | \n",
"
\n",
" \n",
" | 2300 | \n",
" 0.090700 | \n",
" 0.292254 | \n",
" 0.928799 | \n",
"
\n",
" \n",
" | 2400 | \n",
" 0.092100 | \n",
" 0.350228 | \n",
" 0.925611 | \n",
"
\n",
" \n",
" | 2500 | \n",
" 0.166200 | \n",
" 0.319745 | \n",
" 0.934113 | \n",
"
\n",
" \n",
" | 2600 | \n",
" 0.060700 | \n",
" 0.309238 | \n",
" 0.936238 | \n",
"
\n",
" \n",
" | 2700 | \n",
" 0.111000 | \n",
" 0.314578 | \n",
" 0.939426 | \n",
"
\n",
" \n",
" | 2800 | \n",
" 0.058800 | \n",
" 0.306918 | \n",
" 0.934113 | \n",
"
\n",
" \n",
" | 2900 | \n",
" 0.131000 | \n",
" 0.297125 | \n",
" 0.940489 | \n",
"
\n",
" \n",
" | 3000 | \n",
" 0.190300 | \n",
" 0.307795 | \n",
" 0.938363 | \n",
"
\n",
" \n",
" | 3100 | \n",
" 0.211600 | \n",
" 0.311166 | \n",
" 0.934113 | \n",
"
\n",
" \n",
" | 3200 | \n",
" 0.141500 | \n",
" 0.295569 | \n",
" 0.940489 | \n",
"
\n",
" \n",
" | 3300 | \n",
" 0.110600 | \n",
" 0.290980 | \n",
" 0.943677 | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-100\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-100/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-100/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-100/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-200\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-200/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-200/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-200/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-300\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-300/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-300/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-300/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-100] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-400\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-400/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-400/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-400/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-200] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-500\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-500/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-500/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-500/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-300] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-600\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-600/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-600/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-600/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-500] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-700\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-700/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-700/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-700/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-600] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-800\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-800/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-800/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-800/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-700] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-900\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-900/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-900/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-900/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-800] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1000\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1000/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1000/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1000/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-900] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1100\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1100/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1100/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1100/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1000] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1200\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1200/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1200/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1200/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1100] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1300\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1300/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1300/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1300/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1200] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1400\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1400/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1400/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1400/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1300] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1500\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1500/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1500/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1500/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-400] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1600\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1600/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1600/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1600/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1400] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1700\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1700/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1700/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1700/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1600] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1800\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1800/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1800/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1800/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1700] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1800] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2000\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2000/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2000/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2000/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1900] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2100\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2100/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2100/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2100/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2000] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2200\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2200/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2200/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2200/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2100] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-1500] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2400\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2400/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2400/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2400/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2200] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2500\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2500/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2500/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2500/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2400] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2600\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2600/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2600/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2600/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2500] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2700\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2700/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2700/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2700/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2600] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2800\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2800/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2800/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2800/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2700] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2900\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2900/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2900/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2900/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2800] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3000\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3000/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3000/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3000/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2900] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3100\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3100/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3100/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3100/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3000] due to args.save_total_limit\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \n",
" warnings.warn(str(msg))\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3200\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3200/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3200/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3200/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3100] due to args.save_total_limit\n",
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n",
"/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \n",
" warnings.warn(str(msg))\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300/preprocessor_config.json\n",
"Deleting older checkpoint [DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-2300] due to args.save_total_limit\n",
"\n",
"\n",
"Training completed. Do not forget to share your model on huggingface.co/models =)\n",
"\n",
"\n",
"Loading best model from DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300 (score: 0.2909798324108124).\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/preprocessor_config.json\n",
"Saving model checkpoint to DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\n",
"Configuration saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/config.json\n",
"Model weights saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/pytorch_model.bin\n",
"Feature extractor saved in DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/preprocessor_config.json\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "17b3cb57b81d4847b15bd6677b59a331",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Upload file pytorch_model.bin: 0%| | 3.34k/332M [00:00 main\n",
"\n",
"WARNING:huggingface_hub.repository:To https://huggingface.co/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\n",
" 5e52b55..aaf0c34 main -> main\n",
"\n",
"To https://huggingface.co/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\n",
" aaf0c34..68740ac main -> main\n",
"\n",
"WARNING:huggingface_hub.repository:To https://huggingface.co/DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3\n",
" aaf0c34..68740ac main -> main\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"***** train metrics *****\n",
" epoch = 10.0\n",
" total_flos = 3888401233GF\n",
" train_loss = 0.3149\n",
" train_runtime = 1:12:38.88\n",
" train_samples_per_second = 12.223\n",
" train_steps_per_second = 0.764\n"
]
}
],
"source": [
"train_results = trainer.train()\n",
"trainer.save_model()\n",
"trainer.log_metrics(\"train\", train_results.metrics)\n",
"trainer.save_metrics(\"train\", train_results.metrics)\n",
"trainer.save_state()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "D7QgoBYtbQZw"
},
"source": [
"#Evaluate the model"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"background_save": true
},
"id": "x47JvamKT0VX",
"outputId": "1cc17065-5428-4c08-cf13-d27f040134dc"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"***** Running Evaluation *****\n",
" Num examples = 941\n",
" Batch size = 8\n"
]
},
{
"data": {
"text/html": [
"\n",
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