pierreguillou's picture
Training in progress, step 6500
dbd4532
raw
history blame
1.27 kB
{
"_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": "Caption",
"1": "Footnote",
"2": "Formula",
"3": "List-item",
"4": "Page-footer",
"5": "Page-header",
"6": "Picture",
"7": "Section-header",
"8": "Table",
"9": "Text",
"10": "Title"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Caption": 0,
"Footnote": 1,
"Formula": 2,
"List-item": 3,
"Page-footer": 4,
"Page-header": 5,
"Picture": 6,
"Section-header": 7,
"Table": 8,
"Text": 9,
"Title": 10
},
"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": "4.26.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}