config: upload initial version
Browse files- config.json +79 -0
config.json
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{
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"_name_or_path": "/home/stefan/Repositories/NeoBERT",
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"architectures": [
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"NeoBERTForTokenClassification"
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],
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"auto_map": {
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"AutoConfig": "model.NeoBERTConfig",
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"AutoModel": "model.NeoBERT",
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"AutoModelForMaskedLM": "model.NeoBERTLMHead",
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"AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification",
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"AutoModelForTokenClassification": "model.NeoBERTForTokenClassification"
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},
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"classifier_init_range": 0.02,
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"decoder_init_range": 0.02,
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"dim_head": 64,
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"embedding_init_range": 0.02,
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"finetuning_task": "ner",
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-PER",
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"2": "I-PER",
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"3": "B-ORG",
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"4": "I-ORG",
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"5": "B-LOC",
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"6": "I-LOC",
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"7": "B-MISC",
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"8": "I-MISC"
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},
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"intermediate_size": 3072,
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"kwargs": {
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"_commit_hash": null,
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"architectures": [
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"NeoBERTLMHead"
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],
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"attn_implementation": null,
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"auto_map": {
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"AutoConfig": "model.NeoBERTConfig",
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"AutoModel": "model.NeoBERT",
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"AutoModelForMaskedLM": "model.NeoBERTLMHead",
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"AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification",
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"AutoModelForTokenClassification": "model.NeoBERTForTokenClassification"
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},
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"classifier_init_range": 0.02,
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"dim_head": 64,
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"kwargs": {
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"classifier_init_range": 0.02,
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"pretrained_model_name_or_path": "google-bert/bert-base-uncased",
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"trust_remote_code": true
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},
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"model_type": "neobert",
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"pretrained_model_name_or_path": "google-bert/bert-base-uncased",
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"torch_dtype": "float32",
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"transformers_version": "4.48.2",
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"trust_remote_code": true
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},
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"label2id": {
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"B-LOC": 5,
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"B-MISC": 7,
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"B-ORG": 3,
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"B-PER": 1,
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"I-LOC": 6,
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"I-MISC": 8,
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"I-ORG": 4,
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"I-PER": 2,
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"O": 0
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},
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"max_length": 4096,
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"model_type": "neobert",
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"norm_eps": 1e-05,
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"pad_token_id": 0,
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"pretrained_model_name_or_path": "google-bert/bert-base-uncased",
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"trust_remote_code": true,
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"vocab_size": 30522
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}
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