willieseun/Micro-Learn-Idrisi-Encoder-Decoder2

1{
2  "_name_or_path": "rsuwaileh/IDRISI-LMR-EN-timebased-typeless",
3  "architectures": [
4    "BertModel"
5  ],
6  "attention_probs_dropout_prob": 0.1,
7  "classifier_dropout": null,
8  "directionality": "bidi",
9  "eos_token_ids": null,
10  "hidden_act": "gelu",
11  "hidden_dropout_prob": 0.1,
12  "hidden_size": 1024,
13  "id2label": {
14    "0": "B-LOC",
15    "1": "I-LOC",
16    "2": "L-LOC",
17    "3": "U-LOC",
18    "4": "O"
19  },
20  "initializer_range": 0.02,
21  "intermediate_size": 4096,
22  "label2id": {
23    "B-LOC": 0,
24    "I-LOC": 1,
25    "L-LOC": 2,
26    "O": 4,
27    "U-LOC": 3
28  },
29  "layer_norm_eps": 1e-12,
30  "max_position_embeddings": 512,
31  "model_type": "bert",
32  "num_attention_heads": 16,
33  "num_hidden_layers": 24,
34  "output_past": true,
35  "pad_token_id": 0,
36  "pooler_fc_size": 768,
37  "pooler_num_attention_heads": 12,
38  "pooler_num_fc_layers": 3,
39  "pooler_size_per_head": 128,
40  "pooler_type": "first_token_transform",
41  "position_embedding_type": "absolute",
42  "torch_dtype": "float32",
43  "transformers_version": "4.44.2",
44  "type_vocab_size": 2,
45  "use_cache": true,
46  "vocab_size": 28996
47}
48