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.gitattributes

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+pytorch_model.bin filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- autotrain
+- text-classification
+language:
+- en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- Johnsmith382234/autotrain-data-message-classifier
+co2_eq_emissions:
+  emissions: 0.021715821689788844
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 2136768960
+- CO2 Emissions (in grams): 0.0217
+
+## Validation Metrics
+
+- Loss: 0.285
+- Accuracy: 0.924
+- Macro F1: 0.922
+- Micro F1: 0.924
+- Weighted F1: 0.926
+- Macro Precision: 0.950
+- Micro Precision: 0.924
+- Weighted Precision: 0.932
+- Macro Recall: 0.903
+- Micro Recall: 0.924
+- Weighted Recall: 0.924
+
+
+## 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/Johnsmith382234/autotrain-message-classifier-2136768960
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("Johnsmith382234/autotrain-message-classifier-2136768960", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("Johnsmith382234/autotrain-message-classifier-2136768960", 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": 10,
+  "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": "disrespect",
+    "1": "disturbing",
+    "2": "drugs",
+    "3": "filterbypass",
+    "4": "inappropriate",
+    "5": "ok",
+    "6": "politics",
+    "7": "spam",
+    "8": "testcontent",
+    "9": "threat"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "disrespect": 0,
+    "disturbing": 1,
+    "drugs": 2,
+    "filterbypass": 3,
+    "inappropriate": 4,
+    "ok": 5,
+    "politics": 6,
+    "spam": 7,
+    "testcontent": 8,
+    "threat": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "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": "4.22.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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+oid sha256:abe08719f899769f21dd6ae471402cfb2e59a603f9bdecebfa82ef589eca40df
+size 1421617133

special_tokens_map.json

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

tokenizer_config.json

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