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Token Classification
Transformers
PyTorch
TensorBoard
electra
Generated from Trainer
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outputs
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{
  "_name_or_path": "csebuetnlp/banglabert",
  "architectures": [
    "ElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "0",
    "1": "1-5_err",
    "2": "2_err",
    "3": "begin_err",
    "4": "del_err",
    "5": "end_err",
    "6": "one_word_err",
    "7": "punc_insert_err"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 0,
    "1-5_err": 1,
    "2_err": 2,
    "begin_err": 3,
    "del_err": 4,
    "end_err": 5,
    "one_word_err": 6,
    "punc_insert_err": 7
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "task_specific_params": {
    "finetuned": true
  },
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}