Commit
•
bad2adb
1
Parent(s):
67d8ce3
Upload config.json
Browse files- config.json +123 -0
config.json
ADDED
|
@@ -0,0 +1,123 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/pegasus-large",
|
| 3 |
+
"activation_dropout": 0.1,
|
| 4 |
+
"activation_function": "relu",
|
| 5 |
+
"add_bias_logits": false,
|
| 6 |
+
"add_final_layer_norm": true,
|
| 7 |
+
"architectures": [
|
| 8 |
+
"PegasusForConditionalGeneration"
|
| 9 |
+
],
|
| 10 |
+
"attention_dropout": 0.1,
|
| 11 |
+
"bos_token_id": 0,
|
| 12 |
+
"classif_dropout": 0.0,
|
| 13 |
+
"classifier_dropout": 0.0,
|
| 14 |
+
"d_model": 1024,
|
| 15 |
+
"decoder_attention_heads": 16,
|
| 16 |
+
"decoder_ffn_dim": 4096,
|
| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 16,
|
| 19 |
+
"decoder_start_token_id": 0,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
+
"encoder_attention_heads": 16,
|
| 22 |
+
"encoder_ffn_dim": 4096,
|
| 23 |
+
"encoder_layerdrop": 0.0,
|
| 24 |
+
"encoder_layers": 16,
|
| 25 |
+
"eos_token_id": 1,
|
| 26 |
+
"extra_pos_embeddings": 1,
|
| 27 |
+
"force_bos_token_to_be_generated": false,
|
| 28 |
+
"forced_eos_token_id": 1,
|
| 29 |
+
"gradient_checkpointing": false,
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "LABEL_0",
|
| 32 |
+
"1": "LABEL_1",
|
| 33 |
+
"2": "LABEL_2"
|
| 34 |
+
},
|
| 35 |
+
"init_std": 0.02,
|
| 36 |
+
"is_encoder_decoder": true,
|
| 37 |
+
"label2id": {
|
| 38 |
+
"LABEL_0": 0,
|
| 39 |
+
"LABEL_1": 1,
|
| 40 |
+
"LABEL_2": 2
|
| 41 |
+
},
|
| 42 |
+
"length_penalty": 0.8,
|
| 43 |
+
"max_length": 256,
|
| 44 |
+
"max_position_embeddings": 1024,
|
| 45 |
+
"model_type": "pegasus",
|
| 46 |
+
"normalize_before": true,
|
| 47 |
+
"normalize_embedding": false,
|
| 48 |
+
"num_beams": 8,
|
| 49 |
+
"num_hidden_layers": 16,
|
| 50 |
+
"pad_token_id": 0,
|
| 51 |
+
"scale_embedding": true,
|
| 52 |
+
"static_position_embeddings": true,
|
| 53 |
+
"task_specific_params": {
|
| 54 |
+
"summarization_aeslc": {
|
| 55 |
+
"length_penalty": 0.6,
|
| 56 |
+
"max_length": 32,
|
| 57 |
+
"max_position_embeddings": 512
|
| 58 |
+
},
|
| 59 |
+
"summarization_arxiv": {
|
| 60 |
+
"length_penalty": 0.8,
|
| 61 |
+
"max_length": 256,
|
| 62 |
+
"max_position_embeddings": 1024
|
| 63 |
+
},
|
| 64 |
+
"summarization_big_patent": {
|
| 65 |
+
"length_penalty": 0.7,
|
| 66 |
+
"max_length": 256,
|
| 67 |
+
"max_position_embeddings": 1024
|
| 68 |
+
},
|
| 69 |
+
"summarization_billsum": {
|
| 70 |
+
"length_penalty": 0.6,
|
| 71 |
+
"max_length": 256,
|
| 72 |
+
"max_position_embeddings": 1024
|
| 73 |
+
},
|
| 74 |
+
"summarization_cnn_dailymail": {
|
| 75 |
+
"length_penalty": 0.8,
|
| 76 |
+
"max_length": 128,
|
| 77 |
+
"max_position_embeddings": 1024
|
| 78 |
+
},
|
| 79 |
+
"summarization_gigaword": {
|
| 80 |
+
"length_penalty": 0.6,
|
| 81 |
+
"max_length": 32,
|
| 82 |
+
"max_position_embeddings": 128
|
| 83 |
+
},
|
| 84 |
+
"summarization_large": {
|
| 85 |
+
"length_penalty": 0.8,
|
| 86 |
+
"max_length": 256,
|
| 87 |
+
"max_position_embeddings": 1024
|
| 88 |
+
},
|
| 89 |
+
"summarization_multi_news": {
|
| 90 |
+
"length_penalty": 0.8,
|
| 91 |
+
"max_length": 256,
|
| 92 |
+
"max_position_embeddings": 1024
|
| 93 |
+
},
|
| 94 |
+
"summarization_newsroom": {
|
| 95 |
+
"length_penalty": 0.8,
|
| 96 |
+
"max_length": 128,
|
| 97 |
+
"max_position_embeddings": 512
|
| 98 |
+
},
|
| 99 |
+
"summarization_pubmed": {
|
| 100 |
+
"length_penalty": 0.8,
|
| 101 |
+
"max_length": 256,
|
| 102 |
+
"max_position_embeddings": 1024
|
| 103 |
+
},
|
| 104 |
+
"summarization_reddit_tifu": {
|
| 105 |
+
"length_penalty": 0.6,
|
| 106 |
+
"max_length": 128,
|
| 107 |
+
"max_position_embeddings": 512
|
| 108 |
+
},
|
| 109 |
+
"summarization_wikihow": {
|
| 110 |
+
"length_penalty": 0.6,
|
| 111 |
+
"max_length": 256,
|
| 112 |
+
"max_position_embeddings": 512
|
| 113 |
+
},
|
| 114 |
+
"summarization_xsum": {
|
| 115 |
+
"length_penalty": 0.8,
|
| 116 |
+
"max_length": 64,
|
| 117 |
+
"max_position_embeddings": 512
|
| 118 |
+
}
|
| 119 |
+
},
|
| 120 |
+
"transformers_version": "4.3.2",
|
| 121 |
+
"use_cache": true,
|
| 122 |
+
"vocab_size": 96103
|
| 123 |
+
}
|