system HF staff commited on
Commit
9345e5d
1 Parent(s): a85cce9

Commit From AutoTrain

Browse files
.gitattributes CHANGED
@@ -25,3 +25,6 @@ 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
+ *.bin.* filter=lfs diff=lfs merge=lfs -text
29
+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
30
+ *.pkl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags: autotrain
3
+ language: unk
4
+ widget:
5
+ - text: "I love AutoTrain 🤗"
6
+ datasets:
7
+ - justpyschitry/autotrain-data-Psychiatry_Article_Identifier
8
+ co2_eq_emissions: 13.4308931494349
9
+ ---
10
+
11
+ # Model Trained Using AutoTrain
12
+
13
+ - Problem type: Multi-class Classification
14
+ - Model ID: 990132822
15
+ - CO2 Emissions (in grams): 13.4308931494349
16
+
17
+ ## Validation Metrics
18
+
19
+ - Loss: 0.3777158558368683
20
+ - Accuracy: 0.9177471636952999
21
+ - Macro F1: 0.9082952086962773
22
+ - Micro F1: 0.9177471636952999
23
+ - Weighted F1: 0.9175376430905807
24
+ - Macro Precision: 0.9175123149319843
25
+ - Micro Precision: 0.9177471636952999
26
+ - Weighted Precision: 0.9185452324503698
27
+ - Macro Recall: 0.9042000199743617
28
+ - Micro Recall: 0.9177471636952999
29
+ - Weighted Recall: 0.9177471636952999
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 AutoTrain"}' https://api-inference.huggingface.co/models/justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822
38
+ ```
39
+
40
+ Or Python API:
41
+
42
+ ```
43
+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
44
+
45
+ model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)
46
+
47
+ tokenizer = AutoTokenizer.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)
48
+
49
+ inputs = tokenizer("I love AutoTrain", return_tensors="pt")
50
+
51
+ outputs = model(**inputs)
52
+ ```
config.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "AutoTrain",
3
+ "_num_labels": 20,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "Certain infectious or parasitic diseases",
15
+ "1": "Developmental anaomalies",
16
+ "2": "Diseases of the blood or blood forming organs",
17
+ "3": "Diseases of the genitourinary system",
18
+ "4": "Mental behavioural or neurodevelopmental disorders",
19
+ "5": "Neoplasms",
20
+ "6": "certain conditions originating in the perinatal period",
21
+ "7": "conditions related to sexual health",
22
+ "8": "diseases of the circulatroy system",
23
+ "9": "diseases of the digestive system",
24
+ "10": "diseases of the ear or mastoid process",
25
+ "11": "diseases of the immune system",
26
+ "12": "diseases of the musculoskeletal system or connective tissue",
27
+ "13": "diseases of the nervous system",
28
+ "14": "diseases of the respiratory system",
29
+ "15": "diseases of the skin",
30
+ "16": "diseases of the visual system",
31
+ "17": "endocrine nutritional or metabolic diseases",
32
+ "18": "pregnanacy childbirth or the puerperium",
33
+ "19": "sleep-wake disorders"
34
+ },
35
+ "initializer_range": 0.02,
36
+ "intermediate_size": 3072,
37
+ "label2id": {
38
+ "Certain infectious or parasitic diseases": 0,
39
+ "Developmental anaomalies": 1,
40
+ "Diseases of the blood or blood forming organs": 2,
41
+ "Diseases of the genitourinary system": 3,
42
+ "Mental behavioural or neurodevelopmental disorders": 4,
43
+ "Neoplasms": 5,
44
+ "certain conditions originating in the perinatal period": 6,
45
+ "conditions related to sexual health": 7,
46
+ "diseases of the circulatroy system": 8,
47
+ "diseases of the digestive system": 9,
48
+ "diseases of the ear or mastoid process": 10,
49
+ "diseases of the immune system": 11,
50
+ "diseases of the musculoskeletal system or connective tissue": 12,
51
+ "diseases of the nervous system": 13,
52
+ "diseases of the respiratory system": 14,
53
+ "diseases of the skin": 15,
54
+ "diseases of the visual system": 16,
55
+ "endocrine nutritional or metabolic diseases": 17,
56
+ "pregnanacy childbirth or the puerperium": 18,
57
+ "sleep-wake disorders": 19
58
+ },
59
+ "layer_norm_eps": 1e-12,
60
+ "max_length": 192,
61
+ "max_position_embeddings": 512,
62
+ "model_type": "bert",
63
+ "num_attention_heads": 12,
64
+ "num_hidden_layers": 12,
65
+ "pad_token_id": 0,
66
+ "padding": "max_length",
67
+ "position_embedding_type": "absolute",
68
+ "problem_type": "single_label_classification",
69
+ "torch_dtype": "float32",
70
+ "transformers_version": "4.15.0",
71
+ "type_vocab_size": 2,
72
+ "use_cache": true,
73
+ "vocab_size": 30522
74
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:812c05eb089973392ee254a4eb9fcbf423ce3a71754f96e9567195ad8ef8308d
3
+ size 438074605
sample_input.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0de5513b968cd54c276dc2108f0e0944658da89ab9290db3190a1552155db2d
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": true, "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"}
vocab.txt ADDED
The diff for this file is too large to render. See raw diff