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affilgood-affilxlm / config.json
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{
"_name_or_path": "/content/drive/MyDrive/SIRIS Projects/04. GRANTS R&D/02-Implementation/2023Building reliable author- and institution-level curation tools for performing accurate analyses on scientific catalogues/2023AffilGood/NER for Affiliation Entity/01 - further pre-training RoBERTa for affiliation language/models/xlm-roberta-base-affilraw-10M/checkpoint-25000",
"architectures": [
"XLMRobertaForMaskedLM"
],
"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,
"initializer_range": 0.02,
"intermediate_size": 3072,
"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",
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}