File size: 1,183 Bytes
ae80085 9a865ed 796a2a6 9a865ed a3a529a ae80085 7d4adda d73de6f ae80085 0afc73c 4f80f83 144c149 aafb618 2c6a671 3f8b1a6 ae80085 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
{
"architectures": [
"SimModel"
],
"auto_map": {
"AutoModel": "modeling_sim.SimModel"
},
"embedding_size": 1024,
"torch_dtype": "float32",
"normalization_type": "no_norm",
"model_type": "mobilebert",
"transformers_version": "4.24.0",
"embedding_size": 1024,
"hidden_size": 1024,
"num_hidden_layers": 0,
"trigram_input": false,
"type_vocab_size": 1,
"attention_probs_dropout_prob": 0.1,
"classifier_activation": false,
"classifier_dropout": null,
"embedding_size": 1024,
"hidden_act": "relu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "mobilebert",
"normalization_type": "no_norm",
"num_attention_heads": 4,
"num_feedforward_networks": 4,
"num_hidden_layers": 0,
"pad_token_id": 0,
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"trigram_input": false,
"true_hidden_size": 128,
"type_vocab_size": 1,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 82983
}
|