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Update config.json
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{
"_name_or_path": "outputs/gte-v1/checkpoint-4100",
"architectures": [
"NewModel"
],
"attention_probs_dropout_prob": 0.0,
"auto_map": {
"AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
"AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
"AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
"AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
"AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
"AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
"AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
},
"classifier_dropout": 0.0,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"LABEL_0": 0
},
"layer_norm_eps": 1e-12,
"layer_norm_type": "layer_norm",
"logn_attention_clip1": false,
"logn_attention_scale": false,
"max_position_embeddings": 8192,
"model_type": "new",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pack_qkv": true,
"pad_token_id": 1,
"position_embedding_type": "rope",
"rope_scaling": {
"factor": 8.0,
"type": "ntk"
},
"rope_theta": 20000,
"torch_dtype": "float32",
"transformers_version": "4.45.2",
"type_vocab_size": 1,
"unpad_inputs": false,
"use_memory_efficient_attention": false,
"vocab_size": 16456,
"vocabtrimmer": {
"mining_config": {
"dataset": "Turbo-AI/data-corpus",
"dataset_column": "text",
"dataset_name": null,
"dataset_split": "train",
"language": "vi",
"min_frequency": 2,
"target_vocab_size": null
},
"stats": {
"compression_rate_embedding": 6.581136421807013,
"compression_rate_full": 41.25171334079449,
"parameter_size_embedding/raw": 192036864,
"parameter_size_embedding/trimmed": 12638208,
"parameter_size_full/raw": 305368320,
"parameter_size_full/trimmed": 125969664,
"vocab_size/raw": 250048,
"vocab_size/trimmed": 16456
}
}
}