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: en
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- akilesh96/autonlp-data-mrcooper_text_classification
+co2_eq_emissions: 5.999771405025692
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 529614927
+- CO2 Emissions (in grams): 5.999771405025692
+
+## Validation Metrics
+
+- Loss: 0.7582379579544067
+- Accuracy: 0.7636103151862464
+- Macro F1: 0.770630619486531
+- Micro F1: 0.7636103151862464
+- Weighted F1: 0.765233270165301
+- Macro Precision: 0.7746285216467107
+- Micro Precision: 0.7636103151862464
+- Weighted Precision: 0.7683270753840836
+- Macro Recall: 0.7680576576961138
+- Micro Recall: 0.7636103151862464
+- Weighted Recall: 0.7636103151862464
+
+
+## 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/akilesh96/autonlp-mrcooper_text_classification-529614927
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("akilesh96/autonlp-mrcooper_text_classification-529614927", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("akilesh96/autonlp-mrcooper_text_classification-529614927", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,56 @@
+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 11,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Animals",
+    "1": "Compliment",
+    "2": "Education",
+    "3": "Health",
+    "4": "Heavy Emotion",
+    "5": "Joke",
+    "6": "Love",
+    "7": "Politics",
+    "8": "Religion",
+    "9": "Science",
+    "10": "Self"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Animals": 0,
+    "Compliment": 1,
+    "Education": 2,
+    "Health": 3,
+    "Heavy Emotion": 4,
+    "Joke": 5,
+    "Love": 6,
+    "Politics": 7,
+    "Religion": 8,
+    "Science": 9,
+    "Self": 10
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 64,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "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": 30522
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:606dc359a1081cb000fd0b20d7057b53efc36a7007500443c442f3d1d621efab
+size 438046893

sample_input.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:748265cb17ab7dbe75b16dd0b65d2b93757b199a7dbae7a90da6c21ffffeecf5
+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, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoNLP", "tokenizer_class": "BertTokenizer"}