Commit From AutoNLP

.gitattributes

@@ -25,3 +25,5 @@ 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
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,52 @@
+---
+tags: autonlp
+language: zh
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- kyleinincubated/autonlp-data-cat33
+co2_eq_emissions: 1.2490471218570545
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 624317932
+- CO2 Emissions (in grams): 1.2490471218570545
+
+## Validation Metrics
+
+- Loss: 0.5579860806465149
+- Accuracy: 0.8717391304347826
+- Macro F1: 0.6625543939916455
+- Micro F1: 0.8717391304347827
+- Weighted F1: 0.8593303742671491
+- Macro Precision: 0.7214757380849891
+- Micro Precision: 0.8717391304347826
+- Weighted Precision: 0.8629042654788023
+- Macro Recall: 0.6540187758140144
+- Micro Recall: 0.8717391304347826
+- Weighted Recall: 0.8717391304347826
+
+
+## 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 AutoNLP"}' https://api-inference.huggingface.co/models/kyleinincubated/autonlp-cat33-624317932
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,106 @@
+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 32,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "\u4e92\u8054\u7f51\u670d\u52a1",
+    "1": "\u4ea4\u901a\u8fd0\u8f93",
+    "2": "\u4f11\u95f2\u670d\u52a1",
+    "3": "\u4f20\u5a92",
+    "4": "\u4fe1\u606f\u6280\u672f",
+    "5": "\u516c\u7528\u4e8b\u4e1a",
+    "6": "\u519c\u4e1a",
+    "7": "\u5316\u5de5\u5236\u9020",
+    "8": "\u533b\u836f\u751f\u7269",
+    "9": "\u5546\u4e1a\u8d38\u6613",
+    "10": "\u56fd\u9632\u519b\u5de5",
+    "11": "\u5bb6\u7528\u7535\u5668",
+    "12": "\u5efa\u7b51\u4e1a",
+    "13": "\u623f\u5730\u4ea7",
+    "14": "\u6559\u80b2",
+    "15": "\u6587\u5316",
+    "16": "\u6709\u8272\u91d1\u5c5e",
+    "17": "\u673a\u68b0\u88c5\u5907\u5236\u9020",
+    "18": "\u6797\u4e1a",
+    "19": "\u6c7d\u8f66\u5236\u9020",
+    "20": "\u6e14\u4e1a",
+    "21": "\u7535\u5b50\u5236\u9020",
+    "22": "\u7535\u6c14\u8bbe\u5907",
+    "23": "\u755c\u7267\u4e1a",
+    "24": "\u7eba\u7ec7\u670d\u88c5\u5236\u9020",
+    "25": "\u8f7b\u5de5\u5236\u9020",
+    "26": "\u901a\u4fe1",
+    "27": "\u91c7\u77ff\u4e1a",
+    "28": "\u94a2\u94c1",
+    "29": "\u94f6\u884c",
+    "30": "\u975e\u94f6\u91d1\u878d",
+    "31": "\u98df\u54c1\u996e\u6599"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "\u4e92\u8054\u7f51\u670d\u52a1": 0,
+    "\u4ea4\u901a\u8fd0\u8f93": 1,
+    "\u4f11\u95f2\u670d\u52a1": 2,
+    "\u4f20\u5a92": 3,
+    "\u4fe1\u606f\u6280\u672f": 4,
+    "\u516c\u7528\u4e8b\u4e1a": 5,
+    "\u519c\u4e1a": 6,
+    "\u5316\u5de5\u5236\u9020": 7,
+    "\u533b\u836f\u751f\u7269": 8,
+    "\u5546\u4e1a\u8d38\u6613": 9,
+    "\u56fd\u9632\u519b\u5de5": 10,
+    "\u5bb6\u7528\u7535\u5668": 11,
+    "\u5efa\u7b51\u4e1a": 12,
+    "\u623f\u5730\u4ea7": 13,
+    "\u6559\u80b2": 14,
+    "\u6587\u5316": 15,
+    "\u6709\u8272\u91d1\u5c5e": 16,
+    "\u673a\u68b0\u88c5\u5907\u5236\u9020": 17,
+    "\u6797\u4e1a": 18,
+    "\u6c7d\u8f66\u5236\u9020": 19,
+    "\u6e14\u4e1a": 20,
+    "\u7535\u5b50\u5236\u9020": 21,
+    "\u7535\u6c14\u8bbe\u5907": 22,
+    "\u755c\u7267\u4e1a": 23,
+    "\u7eba\u7ec7\u670d\u88c5\u5236\u9020": 24,
+    "\u8f7b\u5de5\u5236\u9020": 25,
+    "\u901a\u4fe1": 26,
+    "\u91c7\u77ff\u4e1a": 27,
+    "\u94a2\u94c1": 28,
+    "\u94f6\u884c": 29,
+    "\u975e\u94f6\u91d1\u878d": 30,
+    "\u98df\u54c1\u996e\u6599": 31
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 64,
+  "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",
+  "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": 21128
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ca9114920edef38c31f68c4bb26ae80acd61c27e81c35cfc40df767c7007e23
+size 409253165

sample_input.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42e2ea1bead5aac39159f1ee5ed25cd6859a6ca4a596bf0af147cc5ac95a57a0
+size 2848

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": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": "/root/.cache/huggingface/transformers/d521373fc7ac35f63d56cf303de74a202403dcf1aaa792cd01f653694be59563.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "AutoNLP", "tokenizer_class": "BertTokenizer"}