Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- modamsko/autotrain-data-idnt
+co2_eq_emissions:
+  emissions: 0.015107604850034564
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 3689198408
+- CO2 Emissions (in grams): 0.0151
+
+## Validation Metrics
+
+- Loss: 1.231
+- Accuracy: 0.660
+- Macro F1: 0.341
+- Micro F1: 0.660
+- Weighted F1: 0.617
+- Macro Precision: 0.377
+- Micro Precision: 0.660
+- Weighted Precision: 0.614
+- Macro Recall: 0.359
+- Micro Recall: 0.660
+- Weighted Recall: 0.660
+
+
+## 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/modamsko/autotrain-idnt-3689198408
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("modamsko/autotrain-idnt-3689198408", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("modamsko/autotrain-idnt-3689198408", 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": 22,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Accreditatielijst mist",
+    "1": "Afvalcontainer(s) legen",
+    "2": "Beveiliging algemeen",
+    "3": "Bezoeker uitgezet vanwege invloed (drank, drugs)",
+    "4": "CP ON AIR",
+    "5": "Deur(en) open(en)",
+    "6": "Diefstal",
+    "7": "Drugs",
+    "8": "EHBO, onwelwording, letsel",
+    "9": "Hek nog open",
+    "10": "Hekken plaatsen",
+    "11": "Nooduitgang (geblokkeerd, onbruikbaar, etc.)",
+    "12": "Overig",
+    "13": "Post onbemand",
+    "14": "Schoonmaak (niet schoon)",
+    "15": "Schoonmaak Entr\u00e9e",
+    "16": "Schoonmaak Toiletten",
+    "17": "Storing",
+    "18": "Stroomprobleem",
+    "19": "Vechtpartij, opstoot(je), ordeverstoring",
+    "20": "WC papier op",
+    "21": "Zakkenrollers actief"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Accreditatielijst mist": 0,
+    "Afvalcontainer(s) legen": 1,
+    "Beveiliging algemeen": 2,
+    "Bezoeker uitgezet vanwege invloed (drank, drugs)": 3,
+    "CP ON AIR": 4,
+    "Deur(en) open(en)": 5,
+    "Diefstal": 6,
+    "Drugs": 7,
+    "EHBO, onwelwording, letsel": 8,
+    "Hek nog open": 9,
+    "Hekken plaatsen": 10,
+    "Nooduitgang (geblokkeerd, onbruikbaar, etc.)": 11,
+    "Overig": 12,
+    "Post onbemand": 13,
+    "Schoonmaak (niet schoon)": 14,
+    "Schoonmaak Entr\u00e9e": 15,
+    "Schoonmaak Toiletten": 16,
+    "Storing": 17,
+    "Stroomprobleem": 18,
+    "Vechtpartij, opstoot(je), ordeverstoring": 19,
+    "WC papier op": 20,
+    "Zakkenrollers actief": 21
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 256,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 40000
+}

pytorch_model.bin

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special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "name_or_path": "AutoTrain",
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "special_tokens_map_file": "./robbert-v2-dutch-base/special_tokens_map.json",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}