Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- ar
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- Azizjah/autotrain-data-arabic_cuisine
+co2_eq_emissions:
+  emissions: 0.02430968865158923
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1367052683
+- CO2 Emissions (in grams): 0.0243
+
+## Validation Metrics
+
+- Loss: 2.302
+- Accuracy: 0.439
+- Macro F1: 0.133
+- Micro F1: 0.439
+- Weighted F1: 0.391
+- Macro Precision: 0.167
+- Micro Precision: 0.439
+- Weighted Precision: 0.378
+- Macro Recall: 0.140
+- Micro Recall: 0.439
+- Weighted Recall: 0.439
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/Azizjah/autotrain-arabic_cuisine-1367052683
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("Azizjah/autotrain-arabic_cuisine-1367052683", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("Azizjah/autotrain-arabic_cuisine-1367052683", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,167 @@
+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 66,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Afghan Restaurant",
+    "1": "American Restaurant",
+    "2": "Arepa Restaurant",
+    "3": "Armenian Restaurant",
+    "4": "Asian Restaurant",
+    "5": "BBQ Joint",
+    "6": "Bagel Shop",
+    "7": "Bakery",
+    "8": "Breakfast Spot",
+    "9": "Buffet",
+    "10": "Burger Joint",
+    "11": "Caf\u00e9",
+    "12": "Chaat Place",
+    "13": "Chinese Restaurant",
+    "14": "Coffee Shop",
+    "15": "Comfort Food Restaurant",
+    "16": "Creperie",
+    "17": "Dessert Shop",
+    "18": "Dim Sum Restaurant",
+    "19": "Diner",
+    "20": "Donut Shop",
+    "21": "Egyptian Restaurant",
+    "22": "English Restaurant",
+    "23": "Falafel Restaurant",
+    "24": "Fast Food Restaurant",
+    "25": "Fish & Chips Shop",
+    "26": "Food Stand",
+    "27": "Food Truck",
+    "28": "French Restaurant",
+    "29": "Fried Chicken Joint",
+    "30": "Greek Restaurant",
+    "31": "Halal Restaurant",
+    "32": "Health Food Store",
+    "33": "Hot Dog Joint",
+    "34": "Indian Restaurant",
+    "35": "Indonesian Restaurant",
+    "36": "Iraqi Restaurant",
+    "37": "Italian Restaurant",
+    "38": "Japanese Restaurant",
+    "39": "Juice Bar",
+    "40": "Kebab Restaurant",
+    "41": "Lebanese Restaurant",
+    "42": "Lounge",
+    "43": "Mediterranean Restaurant",
+    "44": "Mexican Restaurant",
+    "45": "Middle Eastern Restaurant",
+    "46": "Moroccan Restaurant",
+    "47": "New American Restaurant",
+    "48": "Noodle House",
+    "49": "Pakistani Restaurant",
+    "50": "Persian Restaurant",
+    "51": "Pizza Place",
+    "52": "Poke Place",
+    "53": "Restaurant",
+    "54": "Salad Place",
+    "55": "Sandwich Place",
+    "56": "Seafood Restaurant",
+    "57": "Shawarma Place",
+    "58": "Snack Place",
+    "59": "Steakhouse",
+    "60": "Sushi Restaurant",
+    "61": "Taco Place",
+    "62": "Tea Room",
+    "63": "Thai Restaurant",
+    "64": "Turkish Restaurant",
+    "65": "Wings Joint"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Afghan Restaurant": 0,
+    "American Restaurant": 1,
+    "Arepa Restaurant": 2,
+    "Armenian Restaurant": 3,
+    "Asian Restaurant": 4,
+    "BBQ Joint": 5,
+    "Bagel Shop": 6,
+    "Bakery": 7,
+    "Breakfast Spot": 8,
+    "Buffet": 9,
+    "Burger Joint": 10,
+    "Caf\u00e9": 11,
+    "Chaat Place": 12,
+    "Chinese Restaurant": 13,
+    "Coffee Shop": 14,
+    "Comfort Food Restaurant": 15,
+    "Creperie": 16,
+    "Dessert Shop": 17,
+    "Dim Sum Restaurant": 18,
+    "Diner": 19,
+    "Donut Shop": 20,
+    "Egyptian Restaurant": 21,
+    "English Restaurant": 22,
+    "Falafel Restaurant": 23,
+    "Fast Food Restaurant": 24,
+    "Fish & Chips Shop": 25,
+    "Food Stand": 26,
+    "Food Truck": 27,
+    "French Restaurant": 28,
+    "Fried Chicken Joint": 29,
+    "Greek Restaurant": 30,
+    "Halal Restaurant": 31,
+    "Health Food Store": 32,
+    "Hot Dog Joint": 33,
+    "Indian Restaurant": 34,
+    "Indonesian Restaurant": 35,
+    "Iraqi Restaurant": 36,
+    "Italian Restaurant": 37,
+    "Japanese Restaurant": 38,
+    "Juice Bar": 39,
+    "Kebab Restaurant": 40,
+    "Lebanese Restaurant": 41,
+    "Lounge": 42,
+    "Mediterranean Restaurant": 43,
+    "Mexican Restaurant": 44,
+    "Middle Eastern Restaurant": 45,
+    "Moroccan Restaurant": 46,
+    "New American Restaurant": 47,
+    "Noodle House": 48,
+    "Pakistani Restaurant": 49,
+    "Persian Restaurant": 50,
+    "Pizza Place": 51,
+    "Poke Place": 52,
+    "Restaurant": 53,
+    "Salad Place": 54,
+    "Sandwich Place": 55,
+    "Seafood Restaurant": 56,
+    "Shawarma Place": 57,
+    "Snack Place": 58,
+    "Steakhouse": 59,
+    "Sushi Restaurant": 60,
+    "Taco Place": 61,
+    "Tea Room": 62,
+    "Thai Restaurant": 63,
+    "Turkish Restaurant": 64,
+    "Wings Joint": 65
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
+  "name_or_path": "AutoTrain",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}