File size: 1,198 Bytes
0859c8a 4d59312 d29bfc1 4d59312 0859c8a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
{
"_name_or_path": "nielsr/lilt-xlm-roberta-base",
"architectures": [
"LiltForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"channel_shrink_ratio": 4,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-PLACE",
"2": "E-DOC_TYPE",
"3": "B-REASON_OBTAINING",
"4": "B-DATE",
"5": "I-DOC_TYPE",
"6": "I-DATE",
"7": "I-REASON_OBTAINING",
"8": "B-FULL_NAME",
"9": "I-FULL_NAME",
"10": "B-DOC_TYPE",
"11": "E-PLACE",
"12": "E-FULL_NAME",
"13": "E-DATE",
"14": "E-REASON_OBTAINING",
"15": "S-DOC_TYPE",
"16": "S-DATE"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"max_2d_position_embeddings": 1024,
"max_position_embeddings": 514,
"model_type": "lilt",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}
|