Commit From AutoTrain

.gitattributes

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

README.md

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+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- Maxbnza/autotrain-data-address-training
+co2_eq_emissions: 141.11976199388627
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1062136864
+- CO2 Emissions (in grams): 141.11976199388627
+
+## Validation Metrics
+
+- Loss: 0.10147109627723694
+- Accuracy: 0.9859325979151907
+- Macro F1: 0.9715036017680622
+- Micro F1: 0.9859325979151907
+- Weighted F1: 0.9859070541468058
+- Macro Precision: 0.9732956651937184
+- Micro Precision: 0.9859325979151907
+- Weighted Precision: 0.9860574596777458
+- Macro Recall: 0.970199341807239
+- Micro Recall: 0.9859325979151907
+- Weighted Recall: 0.9859325979151907
+
+
+## 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/Maxbnza/autotrain-address-training-1062136864
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 22,
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Austria",
+    "1": "Belgium",
+    "2": "Denmark",
+    "3": "Finland",
+    "4": "France",
+    "5": "Germany",
+    "6": "Israel",
+    "7": "Italy",
+    "8": "Netherlands",
+    "9": "Norway",
+    "10": "Others",
+    "11": "Poland",
+    "12": "Portugal",
+    "13": "Saudi Arabia",
+    "14": "South Africa",
+    "15": "Spain",
+    "16": "Sweden",
+    "17": "Switzerland",
+    "18": "Turkey",
+    "19": "United Arab Emirates",
+    "20": "United Kingdom",
+    "21": "United States"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Austria": 0,
+    "Belgium": 1,
+    "Denmark": 2,
+    "Finland": 3,
+    "France": 4,
+    "Germany": 5,
+    "Israel": 6,
+    "Italy": 7,
+    "Netherlands": 8,
+    "Norway": 9,
+    "Others": 10,
+    "Poland": 11,
+    "Portugal": 12,
+    "Saudi Arabia": 13,
+    "South Africa": 14,
+    "Spain": 15,
+    "Sweden": 16,
+    "Switzerland": 17,
+    "Turkey": 18,
+    "United Arab Emirates": 19,
+    "United Kingdom": 20,
+    "United States": 21
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 256,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "XLMRobertaTokenizer"}