Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* 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: autotrain
+language: en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- agnihotri/autotrain-data-contract_type
+co2_eq_emissions: 0.07610944071640048
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 809725368
+- CO2 Emissions (in grams): 0.07610944071640048
+
+## Validation Metrics
+
+- Loss: 0.05312908813357353
+- Accuracy: 0.9911504424778761
+- Macro F1: 0.9912087912087912
+- Micro F1: 0.9911504424778761
+- Weighted F1: 0.9908586988233007
+- Macro Precision: 0.9942857142857143
+- Micro Precision: 0.9911504424778761
+- Weighted Precision: 0.9924146649810366
+- Macro Recall: 0.99
+- Micro Recall: 0.9911504424778761
+- Weighted Recall: 0.9911504424778761
+
+
+## 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 AutoTrain"}' https://api-inference.huggingface.co/models/agnihotri/autotrain-contract_type-809725368
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("agnihotri/autotrain-contract_type-809725368", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("agnihotri/autotrain-contract_type-809725368", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 25,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Affiliate Agreement",
+    "1": "Agency Agreements",
+    "2": "Co_Branding",
+    "3": "Collaboration",
+    "4": "Consulting Agreements",
+    "5": "Development",
+    "6": "Distributor",
+    "7": "Endorsement Agreement",
+    "8": "Franchise",
+    "9": "Hosting",
+    "10": "IP",
+    "11": "Joint Venture",
+    "12": "License_Agreements",
+    "13": "Maintenance",
+    "14": "Manufacturing",
+    "15": "Marketing",
+    "16": "Non_Compete_Non_Solicit",
+    "17": "Outsourcing",
+    "18": "Promotion",
+    "19": "Reseller",
+    "20": "Service",
+    "21": "Sponsorship",
+    "22": "Strategic Alliance",
+    "23": "Supply",
+    "24": "Transportation"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Affiliate Agreement": 0,
+    "Agency Agreements": 1,
+    "Co_Branding": 2,
+    "Collaboration": 3,
+    "Consulting Agreements": 4,
+    "Development": 5,
+    "Distributor": 6,
+    "Endorsement Agreement": 7,
+    "Franchise": 8,
+    "Hosting": 9,
+    "IP": 10,
+    "Joint Venture": 11,
+    "License_Agreements": 12,
+    "Maintenance": 13,
+    "Manufacturing": 14,
+    "Marketing": 15,
+    "Non_Compete_Non_Solicit": 16,
+    "Outsourcing": 17,
+    "Promotion": 18,
+    "Reseller": 19,
+    "Service": 20,
+    "Sponsorship": 21,
+    "Strategic Alliance": 22,
+    "Supply": 23,
+    "Transportation": 24
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 512,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "RobertaTokenizer"}