Commit From AutoTrain

.gitattributes

@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.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

@@ -0,0 +1,52 @@
+---
+tags: autotrain
+language: en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- justpyschitry/autotrain-data-Wikipeida_Article_Classifier_by_Chap
+co2_eq_emissions: 16.816741650923202
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1022634735
+- CO2 Emissions (in grams): 16.816741650923202
+
+## Validation Metrics
+
+- Loss: 0.4373569190502167
+- Accuracy: 0.9027552674230146
+- Macro F1: 0.8938134766263609
+- Micro F1: 0.9027552674230146
+- Weighted F1: 0.9023653852553881
+- Macro Precision: 0.8970541297231431
+- Micro Precision: 0.9027552674230146
+- Weighted Precision: 0.903514305510645
+- Macro Recall: 0.892665778987219
+- Micro Recall: 0.9027552674230146
+- Weighted Recall: 0.9027552674230146
+
+
+## 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/justpyschitry/autotrain-Wikipeida_Article_Classifier_by_Chap-1022634735
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/autotrain-Wikipeida_Article_Classifier_by_Chap-1022634735", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("justpyschitry/autotrain-Wikipeida_Article_Classifier_by_Chap-1022634735", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,80 @@
+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 20,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Certain infectious or parasitic diseases",
+    "1": "Developmental anaomalies",
+    "2": "Diseases of the blood or blood forming organs",
+    "3": "Diseases of the genitourinary system",
+    "4": "Mental behavioural or neurodevelopmental disorders",
+    "5": "Neoplasms",
+    "6": "certain conditions originating in the perinatal period",
+    "7": "conditions related to sexual health",
+    "8": "diseases of the circulatroy system",
+    "9": "diseases of the digestive system",
+    "10": "diseases of the ear or mastoid process",
+    "11": "diseases of the immune system",
+    "12": "diseases of the musculoskeletal system or connective tissue",
+    "13": "diseases of the nervous system",
+    "14": "diseases of the respiratory system",
+    "15": "diseases of the skin",
+    "16": "diseases of the visual system",
+    "17": "endocrine  nutritional or metabolic diseases",
+    "18": "pregnanacy  childbirth or the puerperium",
+    "19": "sleep-wake disorders"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Certain infectious or parasitic diseases": 0,
+    "Developmental anaomalies": 1,
+    "Diseases of the blood or blood forming organs": 2,
+    "Diseases of the genitourinary system": 3,
+    "Mental behavioural or neurodevelopmental disorders": 4,
+    "Neoplasms": 5,
+    "certain conditions originating in the perinatal period": 6,
+    "conditions related to sexual health": 7,
+    "diseases of the circulatroy system": 8,
+    "diseases of the digestive system": 9,
+    "diseases of the ear or mastoid process": 10,
+    "diseases of the immune system": 11,
+    "diseases of the musculoskeletal system or connective tissue": 12,
+    "diseases of the nervous system": 13,
+    "diseases of the respiratory system": 14,
+    "diseases of the skin": 15,
+    "diseases of the visual system": 16,
+    "endocrine  nutritional or metabolic diseases": 17,
+    "pregnanacy  childbirth or the puerperium": 18,
+    "sleep-wake disorders": 19
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b907498c548d991c11749136e18f3dbd1be694116226a098756008ad75c11a89
+size 1334560749

sample_input.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3febec0bca076249a423a66f54312182ec8b9ad8a95afe5765a7bf65442d2151
+size 4384

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "BertTokenizer"}