abhishek HF staff commited on
Commit
86b6fc2
1 Parent(s): 63c1a59

Commit From AutoNLP

Browse files
.gitattributes CHANGED
@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
28
+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
29
+ *.pkl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags: autonlp
3
+ language: en
4
+ widget:
5
+ - text: "I love AutoNLP 🤗"
6
+ datasets:
7
+ - emekaboris/autonlp-data-txc
8
+ co2_eq_emissions: 610.861733873082
9
+ ---
10
+
11
+ # Model Trained Using AutoNLP
12
+
13
+ - Problem type: Multi-class Classification
14
+ - Model ID: 17923129
15
+ - CO2 Emissions (in grams): 610.861733873082
16
+
17
+ ## Validation Metrics
18
+
19
+ - Loss: 0.2319454699754715
20
+ - Accuracy: 0.9264228741381642
21
+ - Macro F1: 0.6730537318152493
22
+ - Micro F1: 0.9264228741381642
23
+ - Weighted F1: 0.9251493598895151
24
+ - Macro Precision: 0.7767479491141245
25
+ - Micro Precision: 0.9264228741381642
26
+ - Weighted Precision: 0.9277971545757154
27
+ - Macro Recall: 0.6617262519071917
28
+ - Micro Recall: 0.9264228741381642
29
+ - Weighted Recall: 0.9264228741381642
30
+
31
+
32
+ ## Usage
33
+
34
+ You can use cURL to access this model:
35
+
36
+ ```
37
+ $ 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/emekaboris/autonlp-txc-17923129
38
+ ```
39
+
40
+ Or Python API:
41
+
42
+ ```
43
+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
44
+
45
+ model = AutoModelForSequenceClassification.from_pretrained("emekaboris/autonlp-txc-17923129", use_auth_token=True)
46
+
47
+ tokenizer = AutoTokenizer.from_pretrained("emekaboris/autonlp-txc-17923129", use_auth_token=True)
48
+
49
+ inputs = tokenizer("I love AutoNLP", return_tensors="pt")
50
+
51
+ outputs = model(**inputs)
52
+ ```
config.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "AutoNLP",
3
+ "_num_labels": 24,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "directionality": "bidi",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 1024,
13
+ "id2label": {
14
+ "0": "1.0",
15
+ "1": "10.0",
16
+ "2": "11.0",
17
+ "3": "12.0",
18
+ "4": "13.0",
19
+ "5": "14.0",
20
+ "6": "15.0",
21
+ "7": "16.0",
22
+ "8": "17.0",
23
+ "9": "18.0",
24
+ "10": "19.0",
25
+ "11": "2.0",
26
+ "12": "20.0",
27
+ "13": "21.0",
28
+ "14": "22.0",
29
+ "15": "23.0",
30
+ "16": "24.0",
31
+ "17": "3.0",
32
+ "18": "4.0",
33
+ "19": "5.0",
34
+ "20": "6.0",
35
+ "21": "7.0",
36
+ "22": "8.0",
37
+ "23": "9.0"
38
+ },
39
+ "initializer_range": 0.02,
40
+ "intermediate_size": 4096,
41
+ "label2id": {
42
+ "1.0": 0,
43
+ "10.0": 1,
44
+ "11.0": 2,
45
+ "12.0": 3,
46
+ "13.0": 4,
47
+ "14.0": 5,
48
+ "15.0": 6,
49
+ "16.0": 7,
50
+ "17.0": 8,
51
+ "18.0": 9,
52
+ "19.0": 10,
53
+ "2.0": 11,
54
+ "20.0": 12,
55
+ "21.0": 13,
56
+ "22.0": 14,
57
+ "23.0": 15,
58
+ "24.0": 16,
59
+ "3.0": 17,
60
+ "4.0": 18,
61
+ "5.0": 19,
62
+ "6.0": 20,
63
+ "7.0": 21,
64
+ "8.0": 22,
65
+ "9.0": 23
66
+ },
67
+ "layer_norm_eps": 1e-12,
68
+ "max_length": 192,
69
+ "max_position_embeddings": 512,
70
+ "model_type": "bert",
71
+ "num_attention_heads": 16,
72
+ "num_hidden_layers": 24,
73
+ "pad_token_id": 0,
74
+ "padding": "max_length",
75
+ "pooler_fc_size": 768,
76
+ "pooler_num_attention_heads": 12,
77
+ "pooler_num_fc_layers": 3,
78
+ "pooler_size_per_head": 128,
79
+ "pooler_type": "first_token_transform",
80
+ "position_embedding_type": "absolute",
81
+ "problem_type": "single_label_classification",
82
+ "transformers_version": "4.8.0",
83
+ "type_vocab_size": 2,
84
+ "use_cache": true,
85
+ "vocab_size": 28996
86
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62fa8df7bc35f285dfae365e7c1e5f4f79d3bce0a1130a022bfda8aadb7122b1
3
+ size 1334577133
sample_input.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e98ec9d304f72dcdba397e86131f51d6f4bf6b6a39b151563742067c1ebb2a78
3
+ size 5920
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
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": "AutoNLP", "tokenizer_class": "BertTokenizer"}
vocab.txt ADDED
The diff for this file is too large to render. See raw diff