Jzuluaga's picture
updating the repo with the fine-tuned model
60d9bc5
{
"_name_or_path": "experiments/results/ner/baseline/bert-base-uncased/1234/atco2_test_set_1h//",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-O",
"1": "O",
"2": "I-O",
"3": "B-value",
"4": "I-value",
"5": "B-callsign",
"6": "B-command",
"7": "I-callsign",
"8": "I-command"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-O": 0,
"B-callsign": 5,
"B-command": 6,
"B-value": 3,
"I-O": 2,
"I-callsign": 7,
"I-command": 8,
"I-value": 4,
"O": 1
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}