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khmer-text-classification-roberta

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khmer-text-classification-roberta
File size: 4,324 Bytes 
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{
  "_name_or_path": "xlm-roberta-base",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u1780\u17b8\u17a1\u17b6\u1787\u17b6\u178f\u17b7",
    "1": "\u1780\u17b8\u17a1\u17b6\u17a2\u1793\u17d2\u178f\u179a\u1787\u17b6\u178f\u17b7",
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  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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    "\u1787\u17d2\u179a\u17bb\u1784\u1798\u17bd\u1799\u1793\u17c3\u179f\u17b6\u179f\u1793\u17b6": 3,
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    "\u1796\u17d0\u178f\u17cc\u1798\u17b6\u1793\u17a2\u1793\u17d2\u178f\u179a\u1787\u17b6\u178f\u17b7": 10,
    "\u1796\u17d2\u179a\u17b9\u178f\u17d2\u178f\u17b7\u1780\u17b6\u179a\u178e\u17cd\u179f\u1784\u17d2\u1782\u1798": 11,
    "\u1796\u17d2\u179a\u17b9\u178f\u17d2\u178f\u17b7\u1780\u17b6\u179a\u178e\u17cd\u17a2\u1793\u17d2\u178f\u179a\u1787\u17b6\u178f\u17b7": 12,
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    "\u179f\u17b7\u179b\u17d2\u1794\u17c8\u1793\u17b7\u1784\u178f\u17b6\u179a\u17b6": 14,
    "\u179f\u17b7\u179b\u17d2\u1794\u17c8\u1793\u17b7\u1784\u179c\u1794\u17d2\u1794\u1792\u1798\u17cc": 15,
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    "\u179f\u17d2\u179a\u17b6\u179c\u1787\u17d2\u179a\u17b6\u179c": 19
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.29.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}