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NER Training complete

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: roberta-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: roberta-lg-cased-ms-ner-full
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-lg-cased-ms-ner-full
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+
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+ This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 1.12.0
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "roberta-large",
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+ "architectures": [
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+ "RobertaForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "O",
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+ "1": "B-BOSS",
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+ "2": "I-BOSS",
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+ "3": "B-MOB",
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+ "4": "I-MOB",
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+ "5": "B-MAP",
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+ "6": "I-MAP",
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+ "7": "B-JOB",
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+ "8": "I-JOB",
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+ "9": "B-INGAME_ITEM",
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+ "10": "I-INGAME_ITEM",
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+ "11": "B-QUEST",
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+ "12": "I-QUEST",
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+ "13": "B-CHANNEL",
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+ "14": "I-CHANNEL",
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+ "15": "B-SALE_ITEM",
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+ "16": "I-SALE_ITEM",
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+ "17": "B-EVENT",
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+ "18": "I-EVENT",
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+ "19": "B-MECHANIC",
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+ "20": "I-MECHANIC",
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+ "21": "B-FEATURE",
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+ "22": "I-FEATURE",
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+ "23": "B-NPC",
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+ "24": "I-NPC",
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+ "25": "B-GAME",
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+ "26": "I-GAME",
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+ "27": "B-SKILL",
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+ "28": "I-SKILL",
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+ "29": "B-UPDATE",
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+ "30": "I-UPDATE",
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+ "31": "B-MISC",
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+ "32": "I-MISC"
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+ },
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+ "initializer_range": 0.02,
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+ "O": 0
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 16,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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