init
Browse files- config.json +78 -0
- parameter.json +1 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +1 -0
- test_bc5cdr_span_lower.json +1 -0
- test_bionlp2004_span_lower.json +1 -0
- test_conll2003_span_lower.json +1 -0
- test_fin_span_lower.json +1 -0
- test_mit_movie_trivia_lower.json +1 -0
- test_mit_movie_trivia_span_lower.json +1 -0
- test_mit_restaurant_span_lower.json +1 -0
- test_ontonotes5_span_lower.json +1 -0
- test_panx_dataset-en_span_lower.json +1 -0
- test_wnut2017_span_lower.json +1 -0
- tokenizer_config.json +1 -0
config.json
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "xlm-roberta-large",
|
3 |
+
"architectures": [
|
4 |
+
"XLMRobertaForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 1024,
|
13 |
+
"id2label": {
|
14 |
+
"0": "B-actor",
|
15 |
+
"1": "I-actor",
|
16 |
+
"2": "O",
|
17 |
+
"3": "B-plot",
|
18 |
+
"4": "I-plot",
|
19 |
+
"5": "B-opinion",
|
20 |
+
"6": "I-opinion",
|
21 |
+
"7": "B-award",
|
22 |
+
"8": "I-award",
|
23 |
+
"9": "B-date",
|
24 |
+
"10": "B-genre",
|
25 |
+
"11": "B-origin",
|
26 |
+
"12": "I-origin",
|
27 |
+
"13": "B-director",
|
28 |
+
"14": "I-director",
|
29 |
+
"15": "I-genre",
|
30 |
+
"16": "I-date",
|
31 |
+
"17": "B-soundtrack",
|
32 |
+
"18": "I-soundtrack",
|
33 |
+
"19": "B-relationship",
|
34 |
+
"20": "I-relationship",
|
35 |
+
"21": "B-character name",
|
36 |
+
"22": "I-character name",
|
37 |
+
"23": "B-quote",
|
38 |
+
"24": "I-quote"
|
39 |
+
},
|
40 |
+
"initializer_range": 0.02,
|
41 |
+
"intermediate_size": 4096,
|
42 |
+
"label2id": {
|
43 |
+
"B-actor": 0,
|
44 |
+
"B-award": 7,
|
45 |
+
"B-character name": 21,
|
46 |
+
"B-date": 9,
|
47 |
+
"B-director": 13,
|
48 |
+
"B-genre": 10,
|
49 |
+
"B-opinion": 5,
|
50 |
+
"B-origin": 11,
|
51 |
+
"B-plot": 3,
|
52 |
+
"B-quote": 23,
|
53 |
+
"B-relationship": 19,
|
54 |
+
"B-soundtrack": 17,
|
55 |
+
"I-actor": 1,
|
56 |
+
"I-award": 8,
|
57 |
+
"I-character name": 22,
|
58 |
+
"I-date": 16,
|
59 |
+
"I-director": 14,
|
60 |
+
"I-genre": 15,
|
61 |
+
"I-opinion": 6,
|
62 |
+
"I-origin": 12,
|
63 |
+
"I-plot": 4,
|
64 |
+
"I-quote": 24,
|
65 |
+
"I-relationship": 20,
|
66 |
+
"I-soundtrack": 18,
|
67 |
+
"O": 2
|
68 |
+
},
|
69 |
+
"layer_norm_eps": 1e-05,
|
70 |
+
"max_position_embeddings": 514,
|
71 |
+
"model_type": "xlm-roberta",
|
72 |
+
"num_attention_heads": 16,
|
73 |
+
"num_hidden_layers": 24,
|
74 |
+
"output_past": true,
|
75 |
+
"pad_token_id": 1,
|
76 |
+
"type_vocab_size": 1,
|
77 |
+
"vocab_size": 250002
|
78 |
+
}
|
parameter.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"dataset": ["mit_movie_trivia"], "transformers_model": "xlm-roberta-large", "random_seed": 1234, "lr": 1e-05, "total_step": 5000, "warmup_step": 700, "weight_decay": 1e-07, "batch_size": 32, "max_seq_length": 128, "fp16": false, "max_grad_norm": 1.0, "lower_case": true}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5ee86bfc7ad26273cbbd793e7db42fb866d1017afb72ad3da2f5d0a67407d220
|
3 |
+
size 2235628295
|
sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
3 |
+
size 5069051
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"}
|
test_bc5cdr_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}, "test": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_bionlp2004_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_conll2003_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}, "test": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_fin_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_mit_movie_trivia_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 71.2340498415689, "recall": 73.1445655997186, "precision": 69.42079786346186, "summary": " precision recall f1-score support\n\n actor 0.94 0.97 0.96 1274\n award 0.47 0.52 0.49 66\ncharacter name 0.70 0.75 0.72 283\n date 0.96 0.97 0.97 661\n director 0.87 0.93 0.90 425\n genre 0.71 0.74 0.72 789\n opinion 0.41 0.48 0.44 195\n origin 0.33 0.38 0.35 190\n plot 0.45 0.48 0.46 1577\n quote 0.73 0.79 0.76 47\n relationship 0.53 0.58 0.55 171\n soundtrack 0.33 0.38 0.35 8\n\n micro avg 0.69 0.73 0.71 5686\n macro avg 0.62 0.66 0.64 5686\n weighted avg 0.70 0.73 0.71 5686\n"}}
|
test_mit_movie_trivia_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 73.09845809285899, "recall": 74.62187829757299, "precision": 71.63599527266588, "summary": " precision recall f1-score support\n\n entity 0.72 0.75 0.73 5686\n\n micro avg 0.72 0.75 0.73 5686\n macro avg 0.72 0.75 0.73 5686\nweighted avg 0.72 0.75 0.73 5686\n"}}
|
test_mit_restaurant_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_ontonotes5_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 12.3094958968347, "recall": 6.967485069674851, "precision": 52.76381909547738, "summary": " precision recall f1-score support\n\n entity 0.53 0.07 0.12 1507\n\n micro avg 0.53 0.07 0.12 1507\n macro avg 0.53 0.07 0.12 1507\nweighted avg 0.53 0.07 0.12 1507\n"}, "test": {"f1": 10.982976386600768, "recall": 6.2460961898813245, "precision": 45.45454545454545, "summary": " precision recall f1-score support\n\n entity 0.45 0.06 0.11 1601\n\n micro avg 0.45 0.06 0.11 1601\n macro avg 0.45 0.06 0.11 1601\nweighted avg 0.45 0.06 0.11 1601\n"}}
|
test_panx_dataset-en_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}, "test": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
test_wnut2017_span_lower.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}, "test": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "name_or_path": "xlm-roberta-large"}
|