30-rte-prune / config.json
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{
"_name_or_path": "bert-base-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"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",
"pruned_heads": {
"0": [
0,
3,
6,
7,
8
],
"1": [
8,
9
],
"2": [
5
],
"3": [
1,
11
],
"4": [
9,
11,
6,
7
],
"5": [
1,
11,
6,
7
],
"6": [
9,
10,
3,
6
],
"7": [
0,
2,
3,
7
],
"8": [
0,
1,
2,
3,
5,
6,
9
],
"9": [
1,
9
],
"10": [
1,
2,
4,
5,
9
],
"11": [
11,
6,
7
]
},
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}