MiniLM-evidence-types / config.json
marieke93's picture
End of training
3ed3286
{
"_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "Anecdote",
"1": "Assumption",
"2": "Definition",
"3": "None",
"4": "Other",
"5": "Statistics/Study",
"6": "Testimony"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"Anecdote": 0,
"Assumption": 1,
"Definition": 2,
"None": 3,
"Other": 4,
"Statistics/Study": 5,
"Testimony": 6
},
"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",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.19.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}