Token Classification
Transformers
PyTorch
Safetensors
xmod
named-entity-recognition
swissbert-ner / config.json
jvamvas's picture
Initial commit
f557ead
raw
history blame
1.24 kB
{
"adapter_layer_norm": false,
"adapter_reduction_factor": 2,
"adapter_reuse_layer_norm": true,
"architectures": [
"XmodForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "ner",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-LOC",
"1": "B-MISC",
"2": "B-ORG",
"3": "B-PER",
"4": "I-LOC",
"5": "I-MISC",
"6": "I-ORG",
"7": "I-PER",
"8": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-LOC": 0,
"B-MISC": 1,
"B-ORG": 2,
"B-PER": 3,
"I-LOC": 4,
"I-MISC": 5,
"I-ORG": 6,
"I-PER": 7,
"O": 8
},
"languages": [
"de_CH",
"fr_CH",
"it_CH",
"rm_CH"
],
"layer_norm_eps": 1e-05,
"ln_before_adapter": true,
"max_position_embeddings": 514,
"model_type": "xmod",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"pre_norm": false,
"torch_dtype": "float32",
"transformers_version": "4.27.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50262
}