system HF staff commited on
Commit
08dfced
1 Parent(s): a21cdb2

Commit From AutoTrain

Browse files
.gitattributes CHANGED
@@ -26,3 +26,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
26
  *.zip filter=lfs diff=lfs merge=lfs -text
27
  *.zstandard filter=lfs diff=lfs merge=lfs -text
28
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
26
  *.zip filter=lfs diff=lfs merge=lfs -text
27
  *.zstandard filter=lfs diff=lfs merge=lfs -text
28
  *tfevents* 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: en
4
+ widget:
5
+ - text: "I love AutoTrain 🤗"
6
+ datasets:
7
+ - Souvikcmsa/autotrain-data-sentiment_analysis
8
+ co2_eq_emissions: 0.029363397844935534
9
+ ---
10
+
11
+ # Model Trained Using AutoTrain
12
+
13
+ - Problem type: Multi-class Classification
14
+ - Model ID: 762923428
15
+ - CO2 Emissions (in grams): 0.029363397844935534
16
+
17
+ ## Validation Metrics
18
+
19
+ - Loss: 0.4992932379245758
20
+ - Accuracy: 0.799017824663514
21
+ - Macro F1: 0.8021508522962549
22
+ - Micro F1: 0.799017824663514
23
+ - Weighted F1: 0.7993775463659935
24
+ - Macro Precision: 0.80406197665167
25
+ - Micro Precision: 0.799017824663514
26
+ - Weighted Precision: 0.8000374433849405
27
+ - Macro Recall: 0.8005261994732908
28
+ - Micro Recall: 0.799017824663514
29
+ - Weighted Recall: 0.799017824663514
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/Souvikcmsa/autotrain-sentiment_analysis-762923428
38
+ ```
39
+
40
+ Or Python API:
41
+
42
+ ```
43
+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
44
+
45
+ model = AutoModelForSequenceClassification.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923428", use_auth_token=True)
46
+
47
+ tokenizer = AutoTokenizer.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923428", 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 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "AutoTrain",
3
+ "_num_labels": 3,
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": "negative",
15
+ "1": "neutral",
16
+ "2": "positive"
17
+ },
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "label2id": {
21
+ "negative": 0,
22
+ "neutral": 1,
23
+ "positive": 2
24
+ },
25
+ "layer_norm_eps": 1e-12,
26
+ "max_length": 64,
27
+ "max_position_embeddings": 512,
28
+ "model_type": "bert",
29
+ "num_attention_heads": 12,
30
+ "num_hidden_layers": 12,
31
+ "pad_token_id": 0,
32
+ "padding": "max_length",
33
+ "position_embedding_type": "absolute",
34
+ "problem_type": "single_label_classification",
35
+ "torch_dtype": "float32",
36
+ "transformers_version": "4.15.0",
37
+ "type_vocab_size": 2,
38
+ "use_cache": true,
39
+ "vocab_size": 30522
40
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4ee83e207cd138b63600f23ca3086e2c73da4ec726274a71d768f838450df33
3
+ size 438022317
sample_input.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b4aea8ee080351fdae9509a2b90a9c4dd6a57464acc1f84fc6dcd60201ac7ce
3
+ size 2848
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