upload model

README.md

@@ -1,3 +1,8 @@
 ---
 license: apache-2.0
 ---
+
+This is fine-tuned KoBERT model for 8-class sentiment anlaysis.
+
+The original model is here: https://github.com/SKTBrain/KoBERT
+

config.json

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+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "type_vocab_size": 2,
+  "vocab_size": 8002,
+  "author": "Chanhee Park([email protected])",
+  "kobert_version": 1.0
+}

pytorch.model.bin

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+size 368853904

special_tokens_map.json

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+{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}

spiece.model

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+version https://git-lfs.github.com/spec/v1
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+size 371427

tokenizer_config.json

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+{"do_lower_case": false, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "additional_special_tokens": null, "sp_model_kwargs": {}, "tokenizer_class": "XLNetTokenizer"}