Commit From AutoNLP

.gitattributes

@@ -15,3 +15,5 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autonlp
+language: ko
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- ybybybybybybyb/autonlp-data-revanalysis
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 6711455
+
+## Validation Metrics
+
+- Loss: 0.8241586089134216
+- Accuracy: 0.7835820895522388
+- Macro F1: 0.5297383029341792
+- Micro F1: 0.783582089552239
+- Weighted F1: 0.7130091019920225
+- Macro Precision: 0.48787061994609165
+- Micro Precision: 0.7835820895522388
+- Weighted Precision: 0.6541416904694856
+- Macro Recall: 0.5795454545454546
+- Micro Recall: 0.7835820895522388
+- Weighted Recall: 0.7835820895522388
+
+
+## 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/ybybybybybybyb/autonlp-revanalysis-6711455
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("ybybybybybybyb/autonlp-revanalysis-6711455", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("ybybybybybybyb/autonlp-revanalysis-6711455", 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": 3,
+  "activation_dropout": 0.0,
+  "architectures": [
+    "FunnelForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "attention_type": "relative_shift",
+  "block_repeats": [
+    1,
+    1,
+    1
+  ],
+  "block_sizes": [
+    6,
+    6,
+    6
+  ],
+  "d_head": 64,
+  "d_inner": 3072,
+  "d_model": 768,
+  "embedding_size": 768,
+  "hidden_act": "gelu_new",
+  "hidden_dropout": 0.1,
+  "id2label": {
+    "0": "\uae0d\uc815",
+    "1": "\ubd80\uc815",
+    "2": "\uc911\ub9bd"
+  },
+  "initializer_range": 0.1,
+  "initializer_std": 0.02,
+  "label2id": {
+    "\uae0d\uc815": 0,
+    "\ubd80\uc815": 1,
+    "\uc911\ub9bd": 2
+  },
+  "layer_norm_eps": 1e-09,
+  "max_length": 96,
+  "max_position_embeddings": 512,
+  "model_type": "funnel",
+  "n_head": 12,
+  "num_decoder_layers": 2,
+  "padding": "max_length",
+  "pool_q_only": true,
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "rel_attn_type": "factorized",
+  "separate_cls": true,
+  "transformers_version": "4.8.0",
+  "truncate_seq": true,
+  "type_vocab_size": 3,
+  "vocab_size": 42000
+}

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": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>"}

tokenizer_config.json

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+{"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": false, "bos_token": "<s>", "eos_token": "</s>", "clean_text": true, "wordpieces_prefix": "##", "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoNLP", "tokenizer_class": "FunnelTokenizer"}