Commit From AutoNLP

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autonlp
+language: unk
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- test1345/autonlp-data-savesome
+co2_eq_emissions: 5.714250590300453
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 631818261
+- CO2 Emissions (in grams): 5.714250590300453
+
+## Validation Metrics
+
+- Loss: 0.44651690125465393
+- Accuracy: 0.8792873051224944
+- Macro F1: 0.839261602941426
+- Micro F1: 0.8792873051224943
+- Weighted F1: 0.8790427387522044
+- Macro Precision: 0.8407634723656228
+- Micro Precision: 0.8792873051224944
+- Weighted Precision: 0.8801219917819031
+- Macro Recall: 0.8400328140795883
+- Micro Recall: 0.8792873051224944
+- Weighted Recall: 0.8792873051224944
+
+
+## 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/test1345/autonlp-savesome-631818261
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("test1345/autonlp-savesome-631818261", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("test1345/autonlp-savesome-631818261", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 18,
+  "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": "Baby",
+    "1": "Bereidingen of Charcuterie of Vis of Veggie",
+    "2": "Brood of Ontbijt",
+    "3": "Chips of Borrelhapjes",
+    "4": "Colruyt-beenhouwerij",
+    "5": "Conserven",
+    "6": "Dieetvoeding of Voedingssupplementen",
+    "7": "Diepvries",
+    "8": "Dranken",
+    "9": "Groenten en fruit",
+    "10": "Huisdieren",
+    "11": "Koeken of Chocolade of Snoep",
+    "12": "Kruidenierswaren of Droge voeding",
+    "13": "Lichaamsverzorging of Parfumerie",
+    "14": "Niet-voeding",
+    "15": "Onderhoud of Huishouden",
+    "16": "Wijn",
+    "17": "Zuivel"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Baby": 0,
+    "Bereidingen of Charcuterie of Vis of Veggie": 1,
+    "Brood of Ontbijt": 2,
+    "Chips of Borrelhapjes": 3,
+    "Colruyt-beenhouwerij": 4,
+    "Conserven": 5,
+    "Dieetvoeding of Voedingssupplementen": 6,
+    "Diepvries": 7,
+    "Dranken": 8,
+    "Groenten en fruit": 9,
+    "Huisdieren": 10,
+    "Koeken of Chocolade of Snoep": 11,
+    "Kruidenierswaren of Droge voeding": 12,
+    "Lichaamsverzorging of Parfumerie": 13,
+    "Niet-voeding": 14,
+    "Onderhoud of Huishouden": 15,
+    "Wijn": 16,
+    "Zuivel": 17
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 64,
+  "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": "4.15.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 40000
+}

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