UGARIT commited on
Commit
7c72fa3
1 Parent(s): 0eb9a00

Upload 10 files

Browse files
config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "pranaydeeps/Ancient-Greek-BERT",
3
+ "architectures": [
4
+ "BertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "O",
14
+ "1": "B-PER",
15
+ "2": "I-PER",
16
+ "3": "B-NORP",
17
+ "4": "I-NORP",
18
+ "5": "B-LOC",
19
+ "6": "I-LOC",
20
+ "7": "B-MISC",
21
+ "8": "I-MISC"
22
+ },
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 3072,
25
+ "label2id": {
26
+ "B-LOC": "5",
27
+ "B-MISC": "7",
28
+ "B-NORP": "3",
29
+ "B-PER": "1",
30
+ "I-LOC": "6",
31
+ "I-MISC": "8",
32
+ "I-NORP": "4",
33
+ "I-PER": "2",
34
+ "O": "0"
35
+ },
36
+ "layer_norm_eps": 1e-12,
37
+ "max_position_embeddings": 512,
38
+ "model_max_length": 512,
39
+ "model_type": "bert",
40
+ "num_attention_heads": 12,
41
+ "num_hidden_layers": 12,
42
+ "output_past": true,
43
+ "pad_token_id": 0,
44
+ "position_embedding_type": "absolute",
45
+ "torch_dtype": "float32",
46
+ "transformers_version": "4.28.0",
47
+ "type_vocab_size": 2,
48
+ "use_cache": true,
49
+ "vocab_size": 35000
50
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7576e106a61a6b0676d480d84d95f161f482dffd8931e8af977d859c3223f378
3
+ size 449423274
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b6219ef5e5ef2db80e10c8ee60ef209beff25772cdd9af05319af889817bf9e
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74971fdf77702f2b62c524375aa1c538b11ad0b4c171649f0fd219c0757c7268
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "clean_up_tokenization_spaces": true,
3
+ "cls_token": "[CLS]",
4
+ "do_basic_tokenize": true,
5
+ "do_lower_case": true,
6
+ "mask_token": "[MASK]",
7
+ "model_max_length": 512,
8
+ "never_split": null,
9
+ "pad_token": "[PAD]",
10
+ "padding": true,
11
+ "sep_token": "[SEP]",
12
+ "strip_accents": null,
13
+ "tokenize_chinese_chars": true,
14
+ "tokenizer_class": "BertTokenizer",
15
+ "truncation": true,
16
+ "unk_token": "[UNK]"
17
+ }
trainer_state.json ADDED
@@ -0,0 +1,1780 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 10.0,
5
+ "global_step": 21190,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.24,
12
+ "learning_rate": 1.952807928268051e-05,
13
+ "loss": 0.2656,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.24,
18
+ "eval_LOC": {
19
+ "f1": 0.6786599504277605,
20
+ "number": 6349,
21
+ "precision": 0.6891848002598246,
22
+ "recall": 0.6684517246810522
23
+ },
24
+ "eval_MISC": {
25
+ "f1": 0.29338446788111217,
26
+ "number": 1602,
27
+ "precision": 0.6322314049586777,
28
+ "recall": 0.19101123595505617
29
+ },
30
+ "eval_NORP": {
31
+ "f1": 0.7726153601779048,
32
+ "number": 5690,
33
+ "precision": 0.7048253876249819,
34
+ "recall": 0.8548330404217926
35
+ },
36
+ "eval_PER": {
37
+ "f1": 0.848227848101266,
38
+ "number": 16183,
39
+ "precision": 0.8693001232405786,
40
+ "recall": 0.8281530000617933
41
+ },
42
+ "eval_loss": 0.1907876580953598,
43
+ "eval_overall_accuracy": 0.9462788899739584,
44
+ "eval_overall_f1": 0.7762656505171475,
45
+ "eval_overall_precision": 0.7878453038674034,
46
+ "eval_overall_recall": 0.7650214592274678,
47
+ "eval_runtime": 36.0943,
48
+ "eval_samples_per_second": 117.359,
49
+ "eval_steps_per_second": 14.684,
50
+ "step": 500
51
+ },
52
+ {
53
+ "epoch": 0.47,
54
+ "learning_rate": 1.905615856536102e-05,
55
+ "loss": 0.1899,
56
+ "step": 1000
57
+ },
58
+ {
59
+ "epoch": 0.47,
60
+ "eval_LOC": {
61
+ "f1": 0.7273017902813299,
62
+ "number": 6349,
63
+ "precision": 0.738276813240305,
64
+ "recall": 0.7166482910694597
65
+ },
66
+ "eval_MISC": {
67
+ "f1": 0.45315161839863716,
68
+ "number": 1602,
69
+ "precision": 0.7131367292225201,
70
+ "recall": 0.33208489388264667
71
+ },
72
+ "eval_NORP": {
73
+ "f1": 0.8094145636842554,
74
+ "number": 5690,
75
+ "precision": 0.7835170258266162,
76
+ "recall": 0.8370826010544815
77
+ },
78
+ "eval_PER": {
79
+ "f1": 0.8706320857275974,
80
+ "number": 16183,
81
+ "precision": 0.8752810392205845,
82
+ "recall": 0.8660322560711858
83
+ },
84
+ "eval_loss": 0.1607111096382141,
85
+ "eval_overall_accuracy": 0.9542287190755209,
86
+ "eval_overall_f1": 0.811233510131919,
87
+ "eval_overall_precision": 0.8227586206896552,
88
+ "eval_overall_recall": 0.8000268240343348,
89
+ "eval_runtime": 33.8998,
90
+ "eval_samples_per_second": 124.956,
91
+ "eval_steps_per_second": 15.634,
92
+ "step": 1000
93
+ },
94
+ {
95
+ "epoch": 0.71,
96
+ "learning_rate": 1.858423784804153e-05,
97
+ "loss": 0.1609,
98
+ "step": 1500
99
+ },
100
+ {
101
+ "epoch": 0.71,
102
+ "eval_LOC": {
103
+ "f1": 0.7361812892359516,
104
+ "number": 6349,
105
+ "precision": 0.7162222553254879,
106
+ "recall": 0.7572846117498818
107
+ },
108
+ "eval_MISC": {
109
+ "f1": 0.5344885038320558,
110
+ "number": 1602,
111
+ "precision": 0.5732666190135811,
112
+ "recall": 0.5006242197253433
113
+ },
114
+ "eval_NORP": {
115
+ "f1": 0.8192258613356019,
116
+ "number": 5690,
117
+ "precision": 0.7938994229183842,
118
+ "recall": 0.8462214411247804
119
+ },
120
+ "eval_PER": {
121
+ "f1": 0.8834497380892989,
122
+ "number": 16183,
123
+ "precision": 0.8916231355025489,
124
+ "recall": 0.8754248285237595
125
+ },
126
+ "eval_loss": 0.14290471374988556,
127
+ "eval_overall_accuracy": 0.9570109049479166,
128
+ "eval_overall_f1": 0.8212389380530973,
129
+ "eval_overall_precision": 0.8179338787999734,
130
+ "eval_overall_recall": 0.8245708154506438,
131
+ "eval_runtime": 33.8876,
132
+ "eval_samples_per_second": 125.001,
133
+ "eval_steps_per_second": 15.64,
134
+ "step": 1500
135
+ },
136
+ {
137
+ "epoch": 0.94,
138
+ "learning_rate": 1.8112317130722038e-05,
139
+ "loss": 0.1468,
140
+ "step": 2000
141
+ },
142
+ {
143
+ "epoch": 0.94,
144
+ "eval_LOC": {
145
+ "f1": 0.7594586281144263,
146
+ "number": 6349,
147
+ "precision": 0.7419984973703982,
148
+ "recall": 0.7777602772090093
149
+ },
150
+ "eval_MISC": {
151
+ "f1": 0.5709592641261497,
152
+ "number": 1602,
153
+ "precision": 0.602635228848821,
154
+ "recall": 0.5424469413233458
155
+ },
156
+ "eval_NORP": {
157
+ "f1": 0.8396145241782826,
158
+ "number": 5690,
159
+ "precision": 0.8224881995954147,
160
+ "recall": 0.8574692442882249
161
+ },
162
+ "eval_PER": {
163
+ "f1": 0.8936196585169348,
164
+ "number": 16183,
165
+ "precision": 0.8962580805569369,
166
+ "recall": 0.8909967249582895
167
+ },
168
+ "eval_loss": 0.13329361379146576,
169
+ "eval_overall_accuracy": 0.9607187906901041,
170
+ "eval_overall_f1": 0.8376570294122554,
171
+ "eval_overall_precision": 0.8335823621210612,
172
+ "eval_overall_recall": 0.8417717274678111,
173
+ "eval_runtime": 35.3996,
174
+ "eval_samples_per_second": 119.662,
175
+ "eval_steps_per_second": 14.972,
176
+ "step": 2000
177
+ },
178
+ {
179
+ "epoch": 1.18,
180
+ "learning_rate": 1.7640396413402548e-05,
181
+ "loss": 0.1227,
182
+ "step": 2500
183
+ },
184
+ {
185
+ "epoch": 1.18,
186
+ "eval_LOC": {
187
+ "f1": 0.7548371685643762,
188
+ "number": 6349,
189
+ "precision": 0.7632850241545893,
190
+ "recall": 0.746574263663569
191
+ },
192
+ "eval_MISC": {
193
+ "f1": 0.6036542515811666,
194
+ "number": 1602,
195
+ "precision": 0.6905144694533762,
196
+ "recall": 0.5362047440699126
197
+ },
198
+ "eval_NORP": {
199
+ "f1": 0.8488587291795189,
200
+ "number": 5690,
201
+ "precision": 0.8513346296623652,
202
+ "recall": 0.8463971880492092
203
+ },
204
+ "eval_PER": {
205
+ "f1": 0.895450291338345,
206
+ "number": 16183,
207
+ "precision": 0.8754427390791027,
208
+ "recall": 0.9163937465241303
209
+ },
210
+ "eval_loss": 0.1358954906463623,
211
+ "eval_overall_accuracy": 0.9613240559895834,
212
+ "eval_overall_f1": 0.8432567849686847,
213
+ "eval_overall_precision": 0.8400718778077269,
214
+ "eval_overall_recall": 0.8464659334763949,
215
+ "eval_runtime": 33.6007,
216
+ "eval_samples_per_second": 126.069,
217
+ "eval_steps_per_second": 15.773,
218
+ "step": 2500
219
+ },
220
+ {
221
+ "epoch": 1.42,
222
+ "learning_rate": 1.7168475696083062e-05,
223
+ "loss": 0.1043,
224
+ "step": 3000
225
+ },
226
+ {
227
+ "epoch": 1.42,
228
+ "eval_LOC": {
229
+ "f1": 0.7524268013574303,
230
+ "number": 6349,
231
+ "precision": 0.7540335336918697,
232
+ "recall": 0.7508269018743109
233
+ },
234
+ "eval_MISC": {
235
+ "f1": 0.6292059219380888,
236
+ "number": 1602,
237
+ "precision": 0.6824817518248175,
238
+ "recall": 0.583645443196005
239
+ },
240
+ "eval_NORP": {
241
+ "f1": 0.8393367638650656,
242
+ "number": 5690,
243
+ "precision": 0.7840683656340607,
244
+ "recall": 0.90298769771529
245
+ },
246
+ "eval_PER": {
247
+ "f1": 0.9035958798495035,
248
+ "number": 16183,
249
+ "precision": 0.9019269839315397,
250
+ "recall": 0.9052709633566088
251
+ },
252
+ "eval_loss": 0.1304474025964737,
253
+ "eval_overall_accuracy": 0.96197509765625,
254
+ "eval_overall_f1": 0.8452712561347658,
255
+ "eval_overall_precision": 0.8360666491734453,
256
+ "eval_overall_recall": 0.8546807939914163,
257
+ "eval_runtime": 34.7702,
258
+ "eval_samples_per_second": 121.828,
259
+ "eval_steps_per_second": 15.243,
260
+ "step": 3000
261
+ },
262
+ {
263
+ "epoch": 1.65,
264
+ "learning_rate": 1.669655497876357e-05,
265
+ "loss": 0.1078,
266
+ "step": 3500
267
+ },
268
+ {
269
+ "epoch": 1.65,
270
+ "eval_LOC": {
271
+ "f1": 0.7776814563795412,
272
+ "number": 6349,
273
+ "precision": 0.7782334384858044,
274
+ "recall": 0.7771302567333438
275
+ },
276
+ "eval_MISC": {
277
+ "f1": 0.6092849881396137,
278
+ "number": 1602,
279
+ "precision": 0.6664195700518903,
280
+ "recall": 0.5611735330836455
281
+ },
282
+ "eval_NORP": {
283
+ "f1": 0.8464839881148893,
284
+ "number": 5690,
285
+ "precision": 0.7980080921257392,
286
+ "recall": 0.9012302284710018
287
+ },
288
+ "eval_PER": {
289
+ "f1": 0.9055894496826277,
290
+ "number": 16183,
291
+ "precision": 0.9031405568188802,
292
+ "recall": 0.9080516591484892
293
+ },
294
+ "eval_loss": 0.12490628659725189,
295
+ "eval_overall_accuracy": 0.9640248616536459,
296
+ "eval_overall_f1": 0.8522172396611858,
297
+ "eval_overall_precision": 0.8443362074639637,
298
+ "eval_overall_recall": 0.8602467811158798,
299
+ "eval_runtime": 35.4399,
300
+ "eval_samples_per_second": 119.526,
301
+ "eval_steps_per_second": 14.955,
302
+ "step": 3500
303
+ },
304
+ {
305
+ "epoch": 1.89,
306
+ "learning_rate": 1.622463426144408e-05,
307
+ "loss": 0.1041,
308
+ "step": 4000
309
+ },
310
+ {
311
+ "epoch": 1.89,
312
+ "eval_LOC": {
313
+ "f1": 0.7832865606485812,
314
+ "number": 6349,
315
+ "precision": 0.7754283068374749,
316
+ "recall": 0.7913057174358167
317
+ },
318
+ "eval_MISC": {
319
+ "f1": 0.6451395896400942,
320
+ "number": 1602,
321
+ "precision": 0.6994894237782641,
322
+ "recall": 0.5986267166042447
323
+ },
324
+ "eval_NORP": {
325
+ "f1": 0.8637246248896735,
326
+ "number": 5690,
327
+ "precision": 0.8675531914893617,
328
+ "recall": 0.8599297012302285
329
+ },
330
+ "eval_PER": {
331
+ "f1": 0.9092253651321871,
332
+ "number": 16183,
333
+ "precision": 0.9067666400344171,
334
+ "recall": 0.9116974602978434
335
+ },
336
+ "eval_loss": 0.11825834214687347,
337
+ "eval_overall_accuracy": 0.9657440185546875,
338
+ "eval_overall_f1": 0.8602836284299741,
339
+ "eval_overall_precision": 0.8611941803030813,
340
+ "eval_overall_recall": 0.859375,
341
+ "eval_runtime": 35.0652,
342
+ "eval_samples_per_second": 120.804,
343
+ "eval_steps_per_second": 15.115,
344
+ "step": 4000
345
+ },
346
+ {
347
+ "epoch": 2.12,
348
+ "learning_rate": 1.575271354412459e-05,
349
+ "loss": 0.0799,
350
+ "step": 4500
351
+ },
352
+ {
353
+ "epoch": 2.12,
354
+ "eval_LOC": {
355
+ "f1": 0.7903951172502409,
356
+ "number": 6349,
357
+ "precision": 0.8063247583155825,
358
+ "recall": 0.7750826901874311
359
+ },
360
+ "eval_MISC": {
361
+ "f1": 0.6561734872332983,
362
+ "number": 1602,
363
+ "precision": 0.7462211614956245,
364
+ "recall": 0.5855181023720349
365
+ },
366
+ "eval_NORP": {
367
+ "f1": 0.8658915416703648,
368
+ "number": 5690,
369
+ "precision": 0.8746637977407208,
370
+ "recall": 0.8572934973637961
371
+ },
372
+ "eval_PER": {
373
+ "f1": 0.912650510125923,
374
+ "number": 16183,
375
+ "precision": 0.9050802139037433,
376
+ "recall": 0.9203485138725823
377
+ },
378
+ "eval_loss": 0.13416212797164917,
379
+ "eval_overall_accuracy": 0.9664764404296875,
380
+ "eval_overall_f1": 0.8656635763378759,
381
+ "eval_overall_precision": 0.8720103425985779,
382
+ "eval_overall_recall": 0.8594085300429185,
383
+ "eval_runtime": 34.7392,
384
+ "eval_samples_per_second": 121.937,
385
+ "eval_steps_per_second": 15.257,
386
+ "step": 4500
387
+ },
388
+ {
389
+ "epoch": 2.36,
390
+ "learning_rate": 1.52807928268051e-05,
391
+ "loss": 0.0679,
392
+ "step": 5000
393
+ },
394
+ {
395
+ "epoch": 2.36,
396
+ "eval_LOC": {
397
+ "f1": 0.7919011882426517,
398
+ "number": 6349,
399
+ "precision": 0.7861244761756946,
400
+ "recall": 0.7977634273113876
401
+ },
402
+ "eval_MISC": {
403
+ "f1": 0.6594274432379073,
404
+ "number": 1602,
405
+ "precision": 0.697286012526096,
406
+ "recall": 0.6254681647940075
407
+ },
408
+ "eval_NORP": {
409
+ "f1": 0.8735855728429986,
410
+ "number": 5690,
411
+ "precision": 0.8788687299893276,
412
+ "recall": 0.868365553602812
413
+ },
414
+ "eval_PER": {
415
+ "f1": 0.9156303340648623,
416
+ "number": 16183,
417
+ "precision": 0.9034586466165414,
418
+ "recall": 0.9281344620898474
419
+ },
420
+ "eval_loss": 0.1265156865119934,
421
+ "eval_overall_accuracy": 0.9679005940755209,
422
+ "eval_overall_f1": 0.868309119113943,
423
+ "eval_overall_precision": 0.8639426428120954,
424
+ "eval_overall_recall": 0.872719957081545,
425
+ "eval_runtime": 34.8379,
426
+ "eval_samples_per_second": 121.592,
427
+ "eval_steps_per_second": 15.213,
428
+ "step": 5000
429
+ },
430
+ {
431
+ "epoch": 2.6,
432
+ "learning_rate": 1.4808872109485608e-05,
433
+ "loss": 0.0652,
434
+ "step": 5500
435
+ },
436
+ {
437
+ "epoch": 2.6,
438
+ "eval_LOC": {
439
+ "f1": 0.79075180386376,
440
+ "number": 6349,
441
+ "precision": 0.7792048929663609,
442
+ "recall": 0.802646085997795
443
+ },
444
+ "eval_MISC": {
445
+ "f1": 0.6546880104541,
446
+ "number": 1602,
447
+ "precision": 0.686771761480466,
448
+ "recall": 0.6254681647940075
449
+ },
450
+ "eval_NORP": {
451
+ "f1": 0.8732272570044967,
452
+ "number": 5690,
453
+ "precision": 0.8595505617977528,
454
+ "recall": 0.8873462214411247
455
+ },
456
+ "eval_PER": {
457
+ "f1": 0.9123680851726177,
458
+ "number": 16183,
459
+ "precision": 0.9193224592220828,
460
+ "recall": 0.9055181363158871
461
+ },
462
+ "eval_loss": 0.12422272562980652,
463
+ "eval_overall_accuracy": 0.9671122233072916,
464
+ "eval_overall_f1": 0.8652682059795094,
465
+ "eval_overall_precision": 0.865427833495455,
466
+ "eval_overall_recall": 0.8651086373390557,
467
+ "eval_runtime": 34.0635,
468
+ "eval_samples_per_second": 124.356,
469
+ "eval_steps_per_second": 15.559,
470
+ "step": 5500
471
+ },
472
+ {
473
+ "epoch": 2.83,
474
+ "learning_rate": 1.4336951392166117e-05,
475
+ "loss": 0.0695,
476
+ "step": 6000
477
+ },
478
+ {
479
+ "epoch": 2.83,
480
+ "eval_LOC": {
481
+ "f1": 0.7890688921616758,
482
+ "number": 6349,
483
+ "precision": 0.8210454622850332,
484
+ "recall": 0.759489683414711
485
+ },
486
+ "eval_MISC": {
487
+ "f1": 0.6770870337477797,
488
+ "number": 1602,
489
+ "precision": 0.7856553998351196,
490
+ "recall": 0.5948813982521848
491
+ },
492
+ "eval_NORP": {
493
+ "f1": 0.8647034425549563,
494
+ "number": 5690,
495
+ "precision": 0.81885310290652,
496
+ "recall": 0.9159929701230228
497
+ },
498
+ "eval_PER": {
499
+ "f1": 0.9161746617466175,
500
+ "number": 16183,
501
+ "precision": 0.9118565220052641,
502
+ "recall": 0.9205338935920411
503
+ },
504
+ "eval_loss": 0.1276456117630005,
505
+ "eval_overall_accuracy": 0.9684855143229166,
506
+ "eval_overall_f1": 0.8684157552170704,
507
+ "eval_overall_precision": 0.8689405129582383,
508
+ "eval_overall_recall": 0.8678916309012875,
509
+ "eval_runtime": 35.0576,
510
+ "eval_samples_per_second": 120.83,
511
+ "eval_steps_per_second": 15.118,
512
+ "step": 6000
513
+ },
514
+ {
515
+ "epoch": 3.07,
516
+ "learning_rate": 1.3865030674846627e-05,
517
+ "loss": 0.0573,
518
+ "step": 6500
519
+ },
520
+ {
521
+ "epoch": 3.07,
522
+ "eval_LOC": {
523
+ "f1": 0.7923842629167325,
524
+ "number": 6349,
525
+ "precision": 0.7948961800602314,
526
+ "recall": 0.7898881713655694
527
+ },
528
+ "eval_MISC": {
529
+ "f1": 0.6901140684410647,
530
+ "number": 1602,
531
+ "precision": 0.7007722007722008,
532
+ "recall": 0.6797752808988764
533
+ },
534
+ "eval_NORP": {
535
+ "f1": 0.8771058698350772,
536
+ "number": 5690,
537
+ "precision": 0.8851109520400859,
538
+ "recall": 0.869244288224956
539
+ },
540
+ "eval_PER": {
541
+ "f1": 0.9171229698375871,
542
+ "number": 16183,
543
+ "precision": 0.9182876966918597,
544
+ "recall": 0.9159611938453933
545
+ },
546
+ "eval_loss": 0.1303853839635849,
547
+ "eval_overall_accuracy": 0.967529296875,
548
+ "eval_overall_f1": 0.8708955349479105,
549
+ "eval_overall_precision": 0.8742945966951644,
550
+ "eval_overall_recall": 0.8675228004291845,
551
+ "eval_runtime": 36.8238,
552
+ "eval_samples_per_second": 115.034,
553
+ "eval_steps_per_second": 14.393,
554
+ "step": 6500
555
+ },
556
+ {
557
+ "epoch": 3.3,
558
+ "learning_rate": 1.3393109957527137e-05,
559
+ "loss": 0.0444,
560
+ "step": 7000
561
+ },
562
+ {
563
+ "epoch": 3.3,
564
+ "eval_LOC": {
565
+ "f1": 0.7984538074990337,
566
+ "number": 6349,
567
+ "precision": 0.7840874582447617,
568
+ "recall": 0.8133564340841077
569
+ },
570
+ "eval_MISC": {
571
+ "f1": 0.6787416587225928,
572
+ "number": 1602,
573
+ "precision": 0.6912621359223301,
574
+ "recall": 0.6666666666666666
575
+ },
576
+ "eval_NORP": {
577
+ "f1": 0.8763066202090593,
578
+ "number": 5690,
579
+ "precision": 0.8687392055267703,
580
+ "recall": 0.8840070298769771
581
+ },
582
+ "eval_PER": {
583
+ "f1": 0.915957745162195,
584
+ "number": 16183,
585
+ "precision": 0.9238747799849133,
586
+ "recall": 0.9081752456281282
587
+ },
588
+ "eval_loss": 0.13717159628868103,
589
+ "eval_overall_accuracy": 0.96856689453125,
590
+ "eval_overall_f1": 0.8703334283271588,
591
+ "eval_overall_precision": 0.87026048476315,
592
+ "eval_overall_recall": 0.8704063841201717,
593
+ "eval_runtime": 33.9103,
594
+ "eval_samples_per_second": 124.918,
595
+ "eval_steps_per_second": 15.629,
596
+ "step": 7000
597
+ },
598
+ {
599
+ "epoch": 3.54,
600
+ "learning_rate": 1.2921189240207645e-05,
601
+ "loss": 0.0428,
602
+ "step": 7500
603
+ },
604
+ {
605
+ "epoch": 3.54,
606
+ "eval_LOC": {
607
+ "f1": 0.8001958064779311,
608
+ "number": 6349,
609
+ "precision": 0.8300609343263372,
610
+ "recall": 0.7724051031658529
611
+ },
612
+ "eval_MISC": {
613
+ "f1": 0.6906565656565657,
614
+ "number": 1602,
615
+ "precision": 0.698595146871009,
616
+ "recall": 0.682896379525593
617
+ },
618
+ "eval_NORP": {
619
+ "f1": 0.8765986279325824,
620
+ "number": 5690,
621
+ "precision": 0.8460029426189308,
622
+ "recall": 0.9094903339191565
623
+ },
624
+ "eval_PER": {
625
+ "f1": 0.9160423025930381,
626
+ "number": 16183,
627
+ "precision": 0.9141538461538462,
628
+ "recall": 0.9179385775196194
629
+ },
630
+ "eval_loss": 0.13739602267742157,
631
+ "eval_overall_accuracy": 0.9689229329427084,
632
+ "eval_overall_f1": 0.8724712980809519,
633
+ "eval_overall_precision": 0.8722227807379109,
634
+ "eval_overall_recall": 0.872719957081545,
635
+ "eval_runtime": 34.6373,
636
+ "eval_samples_per_second": 122.296,
637
+ "eval_steps_per_second": 15.301,
638
+ "step": 7500
639
+ },
640
+ {
641
+ "epoch": 3.78,
642
+ "learning_rate": 1.2449268522888157e-05,
643
+ "loss": 0.0406,
644
+ "step": 8000
645
+ },
646
+ {
647
+ "epoch": 3.78,
648
+ "eval_LOC": {
649
+ "f1": 0.8012557353296305,
650
+ "number": 6349,
651
+ "precision": 0.819394138952914,
652
+ "recall": 0.7839029768467475
653
+ },
654
+ "eval_MISC": {
655
+ "f1": 0.7026332691072574,
656
+ "number": 1602,
657
+ "precision": 0.7235449735449735,
658
+ "recall": 0.682896379525593
659
+ },
660
+ "eval_NORP": {
661
+ "f1": 0.8827633732448963,
662
+ "number": 5690,
663
+ "precision": 0.8656867714140902,
664
+ "recall": 0.9005272407732865
665
+ },
666
+ "eval_PER": {
667
+ "f1": 0.9211724791392853,
668
+ "number": 16183,
669
+ "precision": 0.9113947018265393,
670
+ "recall": 0.931162330841006
671
+ },
672
+ "eval_loss": 0.13875727355480194,
673
+ "eval_overall_accuracy": 0.9702097574869791,
674
+ "eval_overall_f1": 0.8774702236773967,
675
+ "eval_overall_precision": 0.8743300376177636,
676
+ "eval_overall_recall": 0.8806330472103004,
677
+ "eval_runtime": 34.5296,
678
+ "eval_samples_per_second": 122.677,
679
+ "eval_steps_per_second": 15.349,
680
+ "step": 8000
681
+ },
682
+ {
683
+ "epoch": 4.01,
684
+ "learning_rate": 1.1977347805568667e-05,
685
+ "loss": 0.0449,
686
+ "step": 8500
687
+ },
688
+ {
689
+ "epoch": 4.01,
690
+ "eval_LOC": {
691
+ "f1": 0.8041580701475957,
692
+ "number": 6349,
693
+ "precision": 0.8103310411002719,
694
+ "recall": 0.7980784375492204
695
+ },
696
+ "eval_MISC": {
697
+ "f1": 0.7114228456913828,
698
+ "number": 1602,
699
+ "precision": 0.7650862068965517,
700
+ "recall": 0.6647940074906367
701
+ },
702
+ "eval_NORP": {
703
+ "f1": 0.8826941390355814,
704
+ "number": 5690,
705
+ "precision": 0.8698174372973895,
706
+ "recall": 0.8959578207381371
707
+ },
708
+ "eval_PER": {
709
+ "f1": 0.9232705174636303,
710
+ "number": 16183,
711
+ "precision": 0.9171900725654003,
712
+ "recall": 0.9294321201260582
713
+ },
714
+ "eval_loss": 0.13972027599811554,
715
+ "eval_overall_accuracy": 0.9705251057942709,
716
+ "eval_overall_f1": 0.8796731905774414,
717
+ "eval_overall_precision": 0.8784818592208661,
718
+ "eval_overall_recall": 0.8808677575107297,
719
+ "eval_runtime": 35.3655,
720
+ "eval_samples_per_second": 119.778,
721
+ "eval_steps_per_second": 14.986,
722
+ "step": 8500
723
+ },
724
+ {
725
+ "epoch": 4.25,
726
+ "learning_rate": 1.1505427088249175e-05,
727
+ "loss": 0.0269,
728
+ "step": 9000
729
+ },
730
+ {
731
+ "epoch": 4.25,
732
+ "eval_LOC": {
733
+ "f1": 0.8022795630837423,
734
+ "number": 6349,
735
+ "precision": 0.8063643595863166,
736
+ "recall": 0.7982359426681367
737
+ },
738
+ "eval_MISC": {
739
+ "f1": 0.716551724137931,
740
+ "number": 1602,
741
+ "precision": 0.800462249614792,
742
+ "recall": 0.6485642946317104
743
+ },
744
+ "eval_NORP": {
745
+ "f1": 0.879294097489934,
746
+ "number": 5690,
747
+ "precision": 0.8577636637138559,
748
+ "recall": 0.901933216168717
749
+ },
750
+ "eval_PER": {
751
+ "f1": 0.9192701977056382,
752
+ "number": 16183,
753
+ "precision": 0.9079129753510516,
754
+ "recall": 0.9309151578817277
755
+ },
756
+ "eval_loss": 0.1521347165107727,
757
+ "eval_overall_accuracy": 0.9700419108072916,
758
+ "eval_overall_f1": 0.8770484970741711,
759
+ "eval_overall_precision": 0.8721774594648364,
760
+ "eval_overall_recall": 0.8819742489270386,
761
+ "eval_runtime": 35.7932,
762
+ "eval_samples_per_second": 118.347,
763
+ "eval_steps_per_second": 14.807,
764
+ "step": 9000
765
+ },
766
+ {
767
+ "epoch": 4.48,
768
+ "learning_rate": 1.1033506370929685e-05,
769
+ "loss": 0.0261,
770
+ "step": 9500
771
+ },
772
+ {
773
+ "epoch": 4.48,
774
+ "eval_LOC": {
775
+ "f1": 0.8101327290385238,
776
+ "number": 6349,
777
+ "precision": 0.8331946062926585,
778
+ "recall": 0.7883131201764058
779
+ },
780
+ "eval_MISC": {
781
+ "f1": 0.707196029776675,
782
+ "number": 1602,
783
+ "precision": 0.7028360049321825,
784
+ "recall": 0.7116104868913857
785
+ },
786
+ "eval_NORP": {
787
+ "f1": 0.8803396586084394,
788
+ "number": 5690,
789
+ "precision": 0.8682276533925825,
790
+ "recall": 0.8927943760984183
791
+ },
792
+ "eval_PER": {
793
+ "f1": 0.9222290263319044,
794
+ "number": 16183,
795
+ "precision": 0.9140013351945135,
796
+ "recall": 0.9306061916826299
797
+ },
798
+ "eval_loss": 0.15231968462467194,
799
+ "eval_overall_accuracy": 0.9703928629557291,
800
+ "eval_overall_f1": 0.8793763904919624,
801
+ "eval_overall_precision": 0.8774243081750509,
802
+ "eval_overall_recall": 0.881337178111588,
803
+ "eval_runtime": 35.4408,
804
+ "eval_samples_per_second": 119.523,
805
+ "eval_steps_per_second": 14.955,
806
+ "step": 9500
807
+ },
808
+ {
809
+ "epoch": 4.72,
810
+ "learning_rate": 1.0561585653610193e-05,
811
+ "loss": 0.0285,
812
+ "step": 10000
813
+ },
814
+ {
815
+ "epoch": 4.72,
816
+ "eval_LOC": {
817
+ "f1": 0.8007642338555598,
818
+ "number": 6349,
819
+ "precision": 0.7777612826603325,
820
+ "recall": 0.8251693180028351
821
+ },
822
+ "eval_MISC": {
823
+ "f1": 0.7110076488194212,
824
+ "number": 1602,
825
+ "precision": 0.7608540925266903,
826
+ "recall": 0.66729088639201
827
+ },
828
+ "eval_NORP": {
829
+ "f1": 0.8860268172194778,
830
+ "number": 5690,
831
+ "precision": 0.8894792773645058,
832
+ "recall": 0.8826010544815466
833
+ },
834
+ "eval_PER": {
835
+ "f1": 0.9219896875947831,
836
+ "number": 16183,
837
+ "precision": 0.9054029904092452,
838
+ "recall": 0.9391954520175493
839
+ },
840
+ "eval_loss": 0.14308173954486847,
841
+ "eval_overall_accuracy": 0.9701334635416666,
842
+ "eval_overall_f1": 0.8784727971124872,
843
+ "eval_overall_precision": 0.8676980440897495,
844
+ "eval_overall_recall": 0.889518508583691,
845
+ "eval_runtime": 33.8885,
846
+ "eval_samples_per_second": 124.998,
847
+ "eval_steps_per_second": 15.64,
848
+ "step": 10000
849
+ },
850
+ {
851
+ "epoch": 4.96,
852
+ "learning_rate": 1.0089664936290703e-05,
853
+ "loss": 0.0289,
854
+ "step": 10500
855
+ },
856
+ {
857
+ "epoch": 4.96,
858
+ "eval_LOC": {
859
+ "f1": 0.8048566179407302,
860
+ "number": 6349,
861
+ "precision": 0.8165316045380875,
862
+ "recall": 0.7935107891006458
863
+ },
864
+ "eval_MISC": {
865
+ "f1": 0.718897108271688,
866
+ "number": 1602,
867
+ "precision": 0.7791545189504373,
868
+ "recall": 0.66729088639201
869
+ },
870
+ "eval_NORP": {
871
+ "f1": 0.8847718812224049,
872
+ "number": 5690,
873
+ "precision": 0.8718648694761986,
874
+ "recall": 0.8980667838312829
875
+ },
876
+ "eval_PER": {
877
+ "f1": 0.9236515297706123,
878
+ "number": 16183,
879
+ "precision": 0.9305154897780008,
880
+ "recall": 0.9168880924426868
881
+ },
882
+ "eval_loss": 0.1427399069070816,
883
+ "eval_overall_accuracy": 0.970794677734375,
884
+ "eval_overall_f1": 0.8806381288763456,
885
+ "eval_overall_precision": 0.8877644894204232,
886
+ "eval_overall_recall": 0.8736252682403434,
887
+ "eval_runtime": 35.6412,
888
+ "eval_samples_per_second": 118.851,
889
+ "eval_steps_per_second": 14.87,
890
+ "step": 10500
891
+ },
892
+ {
893
+ "epoch": 5.19,
894
+ "learning_rate": 9.617744218971213e-06,
895
+ "loss": 0.0238,
896
+ "step": 11000
897
+ },
898
+ {
899
+ "epoch": 5.19,
900
+ "eval_LOC": {
901
+ "f1": 0.8100460975997457,
902
+ "number": 6349,
903
+ "precision": 0.8175838280121932,
904
+ "recall": 0.802646085997795
905
+ },
906
+ "eval_MISC": {
907
+ "f1": 0.7157343801112201,
908
+ "number": 1602,
909
+ "precision": 0.7518900343642612,
910
+ "recall": 0.682896379525593
911
+ },
912
+ "eval_NORP": {
913
+ "f1": 0.8887525203822214,
914
+ "number": 5690,
915
+ "precision": 0.8866538394262725,
916
+ "recall": 0.8908611599297013
917
+ },
918
+ "eval_PER": {
919
+ "f1": 0.9244720420521962,
920
+ "number": 16183,
921
+ "precision": 0.919806704183998,
922
+ "recall": 0.9291849471667799
923
+ },
924
+ "eval_loss": 0.15089917182922363,
925
+ "eval_overall_accuracy": 0.9715423583984375,
926
+ "eval_overall_f1": 0.8827567685516223,
927
+ "eval_overall_precision": 0.8838100359627601,
928
+ "eval_overall_recall": 0.881706008583691,
929
+ "eval_runtime": 34.4219,
930
+ "eval_samples_per_second": 123.061,
931
+ "eval_steps_per_second": 15.397,
932
+ "step": 11000
933
+ },
934
+ {
935
+ "epoch": 5.43,
936
+ "learning_rate": 9.145823501651723e-06,
937
+ "loss": 0.0195,
938
+ "step": 11500
939
+ },
940
+ {
941
+ "epoch": 5.43,
942
+ "eval_LOC": {
943
+ "f1": 0.8136754861332485,
944
+ "number": 6349,
945
+ "precision": 0.8235199225681562,
946
+ "recall": 0.8040636320680422
947
+ },
948
+ "eval_MISC": {
949
+ "f1": 0.7222403126017584,
950
+ "number": 1602,
951
+ "precision": 0.7549353301565691,
952
+ "recall": 0.6922596754057428
953
+ },
954
+ "eval_NORP": {
955
+ "f1": 0.888985557682269,
956
+ "number": 5690,
957
+ "precision": 0.8802549965541007,
958
+ "recall": 0.8978910369068541
959
+ },
960
+ "eval_PER": {
961
+ "f1": 0.9241790677653425,
962
+ "number": 16183,
963
+ "precision": 0.9197111559880057,
964
+ "recall": 0.9286906012482234
965
+ },
966
+ "eval_loss": 0.16119226813316345,
967
+ "eval_overall_accuracy": 0.9717254638671875,
968
+ "eval_overall_f1": 0.8837466673373913,
969
+ "eval_overall_precision": 0.883909703820481,
970
+ "eval_overall_recall": 0.8835836909871244,
971
+ "eval_runtime": 34.047,
972
+ "eval_samples_per_second": 124.416,
973
+ "eval_steps_per_second": 15.567,
974
+ "step": 11500
975
+ },
976
+ {
977
+ "epoch": 5.66,
978
+ "learning_rate": 8.673902784332233e-06,
979
+ "loss": 0.0218,
980
+ "step": 12000
981
+ },
982
+ {
983
+ "epoch": 5.66,
984
+ "eval_LOC": {
985
+ "f1": 0.7971036820212603,
986
+ "number": 6349,
987
+ "precision": 0.7800391979496457,
988
+ "recall": 0.8149314852732714
989
+ },
990
+ "eval_MISC": {
991
+ "f1": 0.7200520833333334,
992
+ "number": 1602,
993
+ "precision": 0.7523809523809524,
994
+ "recall": 0.6903870162297129
995
+ },
996
+ "eval_NORP": {
997
+ "f1": 0.8812952705581594,
998
+ "number": 5690,
999
+ "precision": 0.8554177005789909,
1000
+ "recall": 0.9087873462214411
1001
+ },
1002
+ "eval_PER": {
1003
+ "f1": 0.9216090609707305,
1004
+ "number": 16183,
1005
+ "precision": 0.9180770174147658,
1006
+ "recall": 0.9251683865785083
1007
+ },
1008
+ "eval_loss": 0.16442249715328217,
1009
+ "eval_overall_accuracy": 0.9700113932291666,
1010
+ "eval_overall_f1": 0.8766755142667552,
1011
+ "eval_overall_precision": 0.8675794588915157,
1012
+ "eval_overall_recall": 0.8859643240343348,
1013
+ "eval_runtime": 35.3444,
1014
+ "eval_samples_per_second": 119.849,
1015
+ "eval_steps_per_second": 14.995,
1016
+ "step": 12000
1017
+ },
1018
+ {
1019
+ "epoch": 5.9,
1020
+ "learning_rate": 8.201982067012742e-06,
1021
+ "loss": 0.0183,
1022
+ "step": 12500
1023
+ },
1024
+ {
1025
+ "epoch": 5.9,
1026
+ "eval_LOC": {
1027
+ "f1": 0.8106127001832523,
1028
+ "number": 6349,
1029
+ "precision": 0.8202192841019026,
1030
+ "recall": 0.8012285399275476
1031
+ },
1032
+ "eval_MISC": {
1033
+ "f1": 0.7068697544295928,
1034
+ "number": 1602,
1035
+ "precision": 0.7040247678018576,
1036
+ "recall": 0.7097378277153558
1037
+ },
1038
+ "eval_NORP": {
1039
+ "f1": 0.8847426002883555,
1040
+ "number": 5690,
1041
+ "precision": 0.8549418128175709,
1042
+ "recall": 0.9166959578207381
1043
+ },
1044
+ "eval_PER": {
1045
+ "f1": 0.9248411591507826,
1046
+ "number": 16183,
1047
+ "precision": 0.9277453053102848,
1048
+ "recall": 0.921955138107891
1049
+ },
1050
+ "eval_loss": 0.16248470544815063,
1051
+ "eval_overall_accuracy": 0.971343994140625,
1052
+ "eval_overall_f1": 0.8812516715699384,
1053
+ "eval_overall_precision": 0.8786666666666667,
1054
+ "eval_overall_recall": 0.8838519313304721,
1055
+ "eval_runtime": 34.2026,
1056
+ "eval_samples_per_second": 123.85,
1057
+ "eval_steps_per_second": 15.496,
1058
+ "step": 12500
1059
+ },
1060
+ {
1061
+ "epoch": 6.13,
1062
+ "learning_rate": 7.730061349693252e-06,
1063
+ "loss": 0.016,
1064
+ "step": 13000
1065
+ },
1066
+ {
1067
+ "epoch": 6.13,
1068
+ "eval_LOC": {
1069
+ "f1": 0.8088959491660047,
1070
+ "number": 6349,
1071
+ "precision": 0.8158948886396411,
1072
+ "recall": 0.8020160655221295
1073
+ },
1074
+ "eval_MISC": {
1075
+ "f1": 0.7173844702923609,
1076
+ "number": 1602,
1077
+ "precision": 0.7226092463584547,
1078
+ "recall": 0.712234706616729
1079
+ },
1080
+ "eval_NORP": {
1081
+ "f1": 0.8844587716321684,
1082
+ "number": 5690,
1083
+ "precision": 0.8548704493276484,
1084
+ "recall": 0.9161687170474516
1085
+ },
1086
+ "eval_PER": {
1087
+ "f1": 0.9247578842811025,
1088
+ "number": 16183,
1089
+ "precision": 0.9290837647352336,
1090
+ "recall": 0.9204721003522215
1091
+ },
1092
+ "eval_loss": 0.17019298672676086,
1093
+ "eval_overall_accuracy": 0.9712270100911459,
1094
+ "eval_overall_f1": 0.8813718109577583,
1095
+ "eval_overall_precision": 0.8795031885412841,
1096
+ "eval_overall_recall": 0.8832483905579399,
1097
+ "eval_runtime": 33.7485,
1098
+ "eval_samples_per_second": 125.517,
1099
+ "eval_steps_per_second": 15.704,
1100
+ "step": 13000
1101
+ },
1102
+ {
1103
+ "epoch": 6.37,
1104
+ "learning_rate": 7.258140632373761e-06,
1105
+ "loss": 0.0135,
1106
+ "step": 13500
1107
+ },
1108
+ {
1109
+ "epoch": 6.37,
1110
+ "eval_LOC": {
1111
+ "f1": 0.8114028274040702,
1112
+ "number": 6349,
1113
+ "precision": 0.8004597701149425,
1114
+ "recall": 0.8226492361001733
1115
+ },
1116
+ "eval_MISC": {
1117
+ "f1": 0.7318982387475539,
1118
+ "number": 1602,
1119
+ "precision": 0.7663934426229508,
1120
+ "recall": 0.700374531835206
1121
+ },
1122
+ "eval_NORP": {
1123
+ "f1": 0.883330448329583,
1124
+ "number": 5690,
1125
+ "precision": 0.870225102319236,
1126
+ "recall": 0.8968365553602812
1127
+ },
1128
+ "eval_PER": {
1129
+ "f1": 0.9247437955303124,
1130
+ "number": 16183,
1131
+ "precision": 0.923888237833837,
1132
+ "recall": 0.9256009392572453
1133
+ },
1134
+ "eval_loss": 0.16678640246391296,
1135
+ "eval_overall_accuracy": 0.9714457194010416,
1136
+ "eval_overall_f1": 0.8825179495742194,
1137
+ "eval_overall_precision": 0.8789662741967671,
1138
+ "eval_overall_recall": 0.8860984442060086,
1139
+ "eval_runtime": 33.9369,
1140
+ "eval_samples_per_second": 124.82,
1141
+ "eval_steps_per_second": 15.617,
1142
+ "step": 13500
1143
+ },
1144
+ {
1145
+ "epoch": 6.61,
1146
+ "learning_rate": 6.786219915054272e-06,
1147
+ "loss": 0.0127,
1148
+ "step": 14000
1149
+ },
1150
+ {
1151
+ "epoch": 6.61,
1152
+ "eval_LOC": {
1153
+ "f1": 0.8155262740117478,
1154
+ "number": 6349,
1155
+ "precision": 0.8220515282445191,
1156
+ "recall": 0.8091037958733659
1157
+ },
1158
+ "eval_MISC": {
1159
+ "f1": 0.7328699106256207,
1160
+ "number": 1602,
1161
+ "precision": 0.7801268498942917,
1162
+ "recall": 0.6910112359550562
1163
+ },
1164
+ "eval_NORP": {
1165
+ "f1": 0.885006518904824,
1166
+ "number": 5690,
1167
+ "precision": 0.8754944110060189,
1168
+ "recall": 0.8947275922671353
1169
+ },
1170
+ "eval_PER": {
1171
+ "f1": 0.9258804761320408,
1172
+ "number": 16183,
1173
+ "precision": 0.9193931639554012,
1174
+ "recall": 0.9324599888772168
1175
+ },
1176
+ "eval_loss": 0.1748281568288803,
1177
+ "eval_overall_accuracy": 0.9720052083333334,
1178
+ "eval_overall_f1": 0.8849631614199598,
1179
+ "eval_overall_precision": 0.8838975113727588,
1180
+ "eval_overall_recall": 0.8860313841201717,
1181
+ "eval_runtime": 34.1866,
1182
+ "eval_samples_per_second": 123.908,
1183
+ "eval_steps_per_second": 15.503,
1184
+ "step": 14000
1185
+ },
1186
+ {
1187
+ "epoch": 6.84,
1188
+ "learning_rate": 6.314299197734781e-06,
1189
+ "loss": 0.014,
1190
+ "step": 14500
1191
+ },
1192
+ {
1193
+ "epoch": 6.84,
1194
+ "eval_LOC": {
1195
+ "f1": 0.8157271435338702,
1196
+ "number": 6349,
1197
+ "precision": 0.817793256292544,
1198
+ "recall": 0.8136714443219405
1199
+ },
1200
+ "eval_MISC": {
1201
+ "f1": 0.7454485269778219,
1202
+ "number": 1602,
1203
+ "precision": 0.7935165609584214,
1204
+ "recall": 0.7028714107365793
1205
+ },
1206
+ "eval_NORP": {
1207
+ "f1": 0.8912159238424924,
1208
+ "number": 5690,
1209
+ "precision": 0.877919863597613,
1210
+ "recall": 0.9049209138840071
1211
+ },
1212
+ "eval_PER": {
1213
+ "f1": 0.9255973540230596,
1214
+ "number": 16183,
1215
+ "precision": 0.9260267194458189,
1216
+ "recall": 0.9251683865785083
1217
+ },
1218
+ "eval_loss": 0.17196723818778992,
1219
+ "eval_overall_accuracy": 0.9721476236979166,
1220
+ "eval_overall_f1": 0.8864463947107882,
1221
+ "eval_overall_precision": 0.8872652759582116,
1222
+ "eval_overall_recall": 0.8856290236051502,
1223
+ "eval_runtime": 35.3824,
1224
+ "eval_samples_per_second": 119.721,
1225
+ "eval_steps_per_second": 14.979,
1226
+ "step": 14500
1227
+ },
1228
+ {
1229
+ "epoch": 7.08,
1230
+ "learning_rate": 5.84237848041529e-06,
1231
+ "loss": 0.0118,
1232
+ "step": 15000
1233
+ },
1234
+ {
1235
+ "epoch": 7.08,
1236
+ "eval_LOC": {
1237
+ "f1": 0.8129576567971983,
1238
+ "number": 6349,
1239
+ "precision": 0.8217216411906677,
1240
+ "recall": 0.804378642305875
1241
+ },
1242
+ "eval_MISC": {
1243
+ "f1": 0.7294871794871794,
1244
+ "number": 1602,
1245
+ "precision": 0.7496706192358367,
1246
+ "recall": 0.7103620474406991
1247
+ },
1248
+ "eval_NORP": {
1249
+ "f1": 0.8883183568677792,
1250
+ "number": 5690,
1251
+ "precision": 0.8657214345287739,
1252
+ "recall": 0.9121265377855887
1253
+ },
1254
+ "eval_PER": {
1255
+ "f1": 0.9262795910221375,
1256
+ "number": 16183,
1257
+ "precision": 0.9205419260344196,
1258
+ "recall": 0.9320892294382994
1259
+ },
1260
+ "eval_loss": 0.18032006919384003,
1261
+ "eval_overall_accuracy": 0.9713643391927084,
1262
+ "eval_overall_f1": 0.8848810437452033,
1263
+ "eval_overall_precision": 0.8806203094906023,
1264
+ "eval_overall_recall": 0.8891832081545065,
1265
+ "eval_runtime": 36.5943,
1266
+ "eval_samples_per_second": 115.756,
1267
+ "eval_steps_per_second": 14.483,
1268
+ "step": 15000
1269
+ },
1270
+ {
1271
+ "epoch": 7.31,
1272
+ "learning_rate": 5.3704577630958e-06,
1273
+ "loss": 0.0103,
1274
+ "step": 15500
1275
+ },
1276
+ {
1277
+ "epoch": 7.31,
1278
+ "eval_LOC": {
1279
+ "f1": 0.8092074038917892,
1280
+ "number": 6349,
1281
+ "precision": 0.812807881773399,
1282
+ "recall": 0.8056386832572059
1283
+ },
1284
+ "eval_MISC": {
1285
+ "f1": 0.7470997679814386,
1286
+ "number": 1602,
1287
+ "precision": 0.7964664310954064,
1288
+ "recall": 0.7034956304619226
1289
+ },
1290
+ "eval_NORP": {
1291
+ "f1": 0.8900523560209423,
1292
+ "number": 5690,
1293
+ "precision": 0.8698204999161214,
1294
+ "recall": 0.9112478031634447
1295
+ },
1296
+ "eval_PER": {
1297
+ "f1": 0.9261114012719285,
1298
+ "number": 16183,
1299
+ "precision": 0.9209336429182451,
1300
+ "recall": 0.9313477105604647
1301
+ },
1302
+ "eval_loss": 0.17802822589874268,
1303
+ "eval_overall_accuracy": 0.9718373616536459,
1304
+ "eval_overall_f1": 0.8853806445146092,
1305
+ "eval_overall_precision": 0.8822706842017646,
1306
+ "eval_overall_recall": 0.8885126072961373,
1307
+ "eval_runtime": 34.0065,
1308
+ "eval_samples_per_second": 124.565,
1309
+ "eval_steps_per_second": 15.585,
1310
+ "step": 15500
1311
+ },
1312
+ {
1313
+ "epoch": 7.55,
1314
+ "learning_rate": 4.89853704577631e-06,
1315
+ "loss": 0.0081,
1316
+ "step": 16000
1317
+ },
1318
+ {
1319
+ "epoch": 7.55,
1320
+ "eval_LOC": {
1321
+ "f1": 0.8206599713055953,
1322
+ "number": 6349,
1323
+ "precision": 0.8307245441342586,
1324
+ "recall": 0.8108363521814459
1325
+ },
1326
+ "eval_MISC": {
1327
+ "f1": 0.7422750424448217,
1328
+ "number": 1602,
1329
+ "precision": 0.813849590469099,
1330
+ "recall": 0.6822721598002497
1331
+ },
1332
+ "eval_NORP": {
1333
+ "f1": 0.8894804637183341,
1334
+ "number": 5690,
1335
+ "precision": 0.8696893366918556,
1336
+ "recall": 0.9101933216168717
1337
+ },
1338
+ "eval_PER": {
1339
+ "f1": 0.9277675840978593,
1340
+ "number": 16183,
1341
+ "precision": 0.9183871163044136,
1342
+ "recall": 0.9373416548229624
1343
+ },
1344
+ "eval_loss": 0.1846681833267212,
1345
+ "eval_overall_accuracy": 0.9726308186848959,
1346
+ "eval_overall_f1": 0.8887291931278828,
1347
+ "eval_overall_precision": 0.8859456217512994,
1348
+ "eval_overall_recall": 0.8915303111587983,
1349
+ "eval_runtime": 35.2193,
1350
+ "eval_samples_per_second": 120.275,
1351
+ "eval_steps_per_second": 15.049,
1352
+ "step": 16000
1353
+ },
1354
+ {
1355
+ "epoch": 7.79,
1356
+ "learning_rate": 4.42661632845682e-06,
1357
+ "loss": 0.0098,
1358
+ "step": 16500
1359
+ },
1360
+ {
1361
+ "epoch": 7.79,
1362
+ "eval_LOC": {
1363
+ "f1": 0.8185487061802642,
1364
+ "number": 6349,
1365
+ "precision": 0.8225190839694656,
1366
+ "recall": 0.8146164750354387
1367
+ },
1368
+ "eval_MISC": {
1369
+ "f1": 0.7496598639455783,
1370
+ "number": 1602,
1371
+ "precision": 0.8236173393124065,
1372
+ "recall": 0.6878901373283396
1373
+ },
1374
+ "eval_NORP": {
1375
+ "f1": 0.8895378800893318,
1376
+ "number": 5690,
1377
+ "precision": 0.8699596774193549,
1378
+ "recall": 0.9100175746924429
1379
+ },
1380
+ "eval_PER": {
1381
+ "f1": 0.9280763899584168,
1382
+ "number": 16183,
1383
+ "precision": 0.925254882692544,
1384
+ "recall": 0.9309151578817277
1385
+ },
1386
+ "eval_loss": 0.18522000312805176,
1387
+ "eval_overall_accuracy": 0.9727986653645834,
1388
+ "eval_overall_f1": 0.8885798538971919,
1389
+ "eval_overall_precision": 0.8880442062960482,
1390
+ "eval_overall_recall": 0.8891161480686696,
1391
+ "eval_runtime": 33.8843,
1392
+ "eval_samples_per_second": 125.014,
1393
+ "eval_steps_per_second": 15.641,
1394
+ "step": 16500
1395
+ },
1396
+ {
1397
+ "epoch": 8.02,
1398
+ "learning_rate": 3.954695611137329e-06,
1399
+ "loss": 0.0078,
1400
+ "step": 17000
1401
+ },
1402
+ {
1403
+ "epoch": 8.02,
1404
+ "eval_LOC": {
1405
+ "f1": 0.8156406785060126,
1406
+ "number": 6349,
1407
+ "precision": 0.8249033505154639,
1408
+ "recall": 0.806583713970704
1409
+ },
1410
+ "eval_MISC": {
1411
+ "f1": 0.7453208556149733,
1412
+ "number": 1602,
1413
+ "precision": 0.802158273381295,
1414
+ "recall": 0.6960049937578028
1415
+ },
1416
+ "eval_NORP": {
1417
+ "f1": 0.8898399383719935,
1418
+ "number": 5690,
1419
+ "precision": 0.8673452361087935,
1420
+ "recall": 0.9135325131810194
1421
+ },
1422
+ "eval_PER": {
1423
+ "f1": 0.9259453619385708,
1424
+ "number": 16183,
1425
+ "precision": 0.9251171971379225,
1426
+ "recall": 0.926775010813817
1427
+ },
1428
+ "eval_loss": 0.19055458903312683,
1429
+ "eval_overall_accuracy": 0.9721832275390625,
1430
+ "eval_overall_f1": 0.886578227983967,
1431
+ "eval_overall_precision": 0.8868905814850854,
1432
+ "eval_overall_recall": 0.8862660944206009,
1433
+ "eval_runtime": 35.3527,
1434
+ "eval_samples_per_second": 119.821,
1435
+ "eval_steps_per_second": 14.992,
1436
+ "step": 17000
1437
+ },
1438
+ {
1439
+ "epoch": 8.26,
1440
+ "learning_rate": 3.482774893817839e-06,
1441
+ "loss": 0.0063,
1442
+ "step": 17500
1443
+ },
1444
+ {
1445
+ "epoch": 8.26,
1446
+ "eval_LOC": {
1447
+ "f1": 0.8183385579937305,
1448
+ "number": 6349,
1449
+ "precision": 0.8143815317423179,
1450
+ "recall": 0.8223342258623405
1451
+ },
1452
+ "eval_MISC": {
1453
+ "f1": 0.7419786096256684,
1454
+ "number": 1602,
1455
+ "precision": 0.7985611510791367,
1456
+ "recall": 0.6928838951310862
1457
+ },
1458
+ "eval_NORP": {
1459
+ "f1": 0.8902174854865263,
1460
+ "number": 5690,
1461
+ "precision": 0.8779695778499402,
1462
+ "recall": 0.9028119507908612
1463
+ },
1464
+ "eval_PER": {
1465
+ "f1": 0.926946847960445,
1466
+ "number": 16183,
1467
+ "precision": 0.927118748840947,
1468
+ "recall": 0.926775010813817
1469
+ },
1470
+ "eval_loss": 0.19118891656398773,
1471
+ "eval_overall_accuracy": 0.9723765055338541,
1472
+ "eval_overall_f1": 0.8873317352019178,
1473
+ "eval_overall_precision": 0.8872573669918535,
1474
+ "eval_overall_recall": 0.8874061158798283,
1475
+ "eval_runtime": 35.4944,
1476
+ "eval_samples_per_second": 119.343,
1477
+ "eval_steps_per_second": 14.932,
1478
+ "step": 17500
1479
+ },
1480
+ {
1481
+ "epoch": 8.49,
1482
+ "learning_rate": 3.0108541764983485e-06,
1483
+ "loss": 0.0059,
1484
+ "step": 18000
1485
+ },
1486
+ {
1487
+ "epoch": 8.49,
1488
+ "eval_LOC": {
1489
+ "f1": 0.8186487554326354,
1490
+ "number": 6349,
1491
+ "precision": 0.8214398985093562,
1492
+ "recall": 0.8158765159867696
1493
+ },
1494
+ "eval_MISC": {
1495
+ "f1": 0.7347328244274809,
1496
+ "number": 1602,
1497
+ "precision": 0.7490272373540856,
1498
+ "recall": 0.7209737827715356
1499
+ },
1500
+ "eval_NORP": {
1501
+ "f1": 0.8874354561101548,
1502
+ "number": 5690,
1503
+ "precision": 0.869477234401349,
1504
+ "recall": 0.9061511423550088
1505
+ },
1506
+ "eval_PER": {
1507
+ "f1": 0.9275050685015666,
1508
+ "number": 16183,
1509
+ "precision": 0.9221794636857858,
1510
+ "recall": 0.9328925415559538
1511
+ },
1512
+ "eval_loss": 0.19088691473007202,
1513
+ "eval_overall_accuracy": 0.9722646077473959,
1514
+ "eval_overall_f1": 0.886665666216464,
1515
+ "eval_overall_precision": 0.8818866297389631,
1516
+ "eval_overall_recall": 0.8914967811158798,
1517
+ "eval_runtime": 34.1683,
1518
+ "eval_samples_per_second": 123.975,
1519
+ "eval_steps_per_second": 15.511,
1520
+ "step": 18000
1521
+ },
1522
+ {
1523
+ "epoch": 8.73,
1524
+ "learning_rate": 2.5389334591788585e-06,
1525
+ "loss": 0.0059,
1526
+ "step": 18500
1527
+ },
1528
+ {
1529
+ "epoch": 8.73,
1530
+ "eval_LOC": {
1531
+ "f1": 0.8207652008255277,
1532
+ "number": 6349,
1533
+ "precision": 0.8273323731797088,
1534
+ "recall": 0.8143014647976059
1535
+ },
1536
+ "eval_MISC": {
1537
+ "f1": 0.7507487520798669,
1538
+ "number": 1602,
1539
+ "precision": 0.8039914468995011,
1540
+ "recall": 0.704119850187266
1541
+ },
1542
+ "eval_NORP": {
1543
+ "f1": 0.8878091106290672,
1544
+ "number": 5690,
1545
+ "precision": 0.8767780634104542,
1546
+ "recall": 0.8991212653778559
1547
+ },
1548
+ "eval_PER": {
1549
+ "f1": 0.9267059295118868,
1550
+ "number": 16183,
1551
+ "precision": 0.9248522895125554,
1552
+ "recall": 0.9285670147685843
1553
+ },
1554
+ "eval_loss": 0.19563351571559906,
1555
+ "eval_overall_accuracy": 0.9725545247395834,
1556
+ "eval_overall_f1": 0.8878926778488558,
1557
+ "eval_overall_precision": 0.8892214561964016,
1558
+ "eval_overall_recall": 0.886567864806867,
1559
+ "eval_runtime": 35.4075,
1560
+ "eval_samples_per_second": 119.636,
1561
+ "eval_steps_per_second": 14.969,
1562
+ "step": 18500
1563
+ },
1564
+ {
1565
+ "epoch": 8.97,
1566
+ "learning_rate": 2.0670127418593677e-06,
1567
+ "loss": 0.0069,
1568
+ "step": 19000
1569
+ },
1570
+ {
1571
+ "epoch": 8.97,
1572
+ "eval_LOC": {
1573
+ "f1": 0.8209361974991985,
1574
+ "number": 6349,
1575
+ "precision": 0.8358087155214624,
1576
+ "recall": 0.806583713970704
1577
+ },
1578
+ "eval_MISC": {
1579
+ "f1": 0.7553444180522565,
1580
+ "number": 1602,
1581
+ "precision": 0.8275092936802974,
1582
+ "recall": 0.6947565543071161
1583
+ },
1584
+ "eval_NORP": {
1585
+ "f1": 0.8875515818431913,
1586
+ "number": 5690,
1587
+ "precision": 0.8687310669808146,
1588
+ "recall": 0.9072056239015818
1589
+ },
1590
+ "eval_PER": {
1591
+ "f1": 0.9272833399895548,
1592
+ "number": 16183,
1593
+ "precision": 0.9220430107526881,
1594
+ "recall": 0.932583575356856
1595
+ },
1596
+ "eval_loss": 0.19536001980304718,
1597
+ "eval_overall_accuracy": 0.972808837890625,
1598
+ "eval_overall_f1": 0.8887695869543335,
1599
+ "eval_overall_precision": 0.8893962796319925,
1600
+ "eval_overall_recall": 0.8881437768240343,
1601
+ "eval_runtime": 35.4791,
1602
+ "eval_samples_per_second": 119.394,
1603
+ "eval_steps_per_second": 14.938,
1604
+ "step": 19000
1605
+ },
1606
+ {
1607
+ "epoch": 9.2,
1608
+ "learning_rate": 1.5950920245398775e-06,
1609
+ "loss": 0.006,
1610
+ "step": 19500
1611
+ },
1612
+ {
1613
+ "epoch": 9.2,
1614
+ "eval_LOC": {
1615
+ "f1": 0.8205210164615631,
1616
+ "number": 6349,
1617
+ "precision": 0.8327656123276561,
1618
+ "recall": 0.8086312805166168
1619
+ },
1620
+ "eval_MISC": {
1621
+ "f1": 0.7514871116986119,
1622
+ "number": 1602,
1623
+ "precision": 0.7984550561797753,
1624
+ "recall": 0.7097378277153558
1625
+ },
1626
+ "eval_NORP": {
1627
+ "f1": 0.8861538461538462,
1628
+ "number": 5690,
1629
+ "precision": 0.8625623960066556,
1630
+ "recall": 0.9110720562390158
1631
+ },
1632
+ "eval_PER": {
1633
+ "f1": 0.9265025233216089,
1634
+ "number": 16183,
1635
+ "precision": 0.9172722868217055,
1636
+ "recall": 0.9359204103071124
1637
+ },
1638
+ "eval_loss": 0.19643273949623108,
1639
+ "eval_overall_accuracy": 0.9723968505859375,
1640
+ "eval_overall_f1": 0.8876616334362226,
1641
+ "eval_overall_precision": 0.8834313041745542,
1642
+ "eval_overall_recall": 0.8919326716738197,
1643
+ "eval_runtime": 34.2373,
1644
+ "eval_samples_per_second": 123.725,
1645
+ "eval_steps_per_second": 15.48,
1646
+ "step": 19500
1647
+ },
1648
+ {
1649
+ "epoch": 9.44,
1650
+ "learning_rate": 1.123171307220387e-06,
1651
+ "loss": 0.0046,
1652
+ "step": 20000
1653
+ },
1654
+ {
1655
+ "epoch": 9.44,
1656
+ "eval_LOC": {
1657
+ "f1": 0.8190899001109878,
1658
+ "number": 6349,
1659
+ "precision": 0.8245810055865922,
1660
+ "recall": 0.8136714443219405
1661
+ },
1662
+ "eval_MISC": {
1663
+ "f1": 0.7499167499167498,
1664
+ "number": 1602,
1665
+ "precision": 0.8037116345467523,
1666
+ "recall": 0.7028714107365793
1667
+ },
1668
+ "eval_NORP": {
1669
+ "f1": 0.8883740883740884,
1670
+ "number": 5690,
1671
+ "precision": 0.8678960603520537,
1672
+ "recall": 0.909841827768014
1673
+ },
1674
+ "eval_PER": {
1675
+ "f1": 0.9276177525033996,
1676
+ "number": 16183,
1677
+ "precision": 0.9279045322450998,
1678
+ "recall": 0.927331149972193
1679
+ },
1680
+ "eval_loss": 0.19752554595470428,
1681
+ "eval_overall_accuracy": 0.9726409912109375,
1682
+ "eval_overall_f1": 0.8880391762259341,
1683
+ "eval_overall_precision": 0.8883371359549054,
1684
+ "eval_overall_recall": 0.8877414163090128,
1685
+ "eval_runtime": 35.5214,
1686
+ "eval_samples_per_second": 119.252,
1687
+ "eval_steps_per_second": 14.921,
1688
+ "step": 20000
1689
+ },
1690
+ {
1691
+ "epoch": 9.67,
1692
+ "learning_rate": 6.512505899008966e-07,
1693
+ "loss": 0.0038,
1694
+ "step": 20500
1695
+ },
1696
+ {
1697
+ "epoch": 9.67,
1698
+ "eval_LOC": {
1699
+ "f1": 0.8203611954610835,
1700
+ "number": 6349,
1701
+ "precision": 0.832603406326034,
1702
+ "recall": 0.8084737753977004
1703
+ },
1704
+ "eval_MISC": {
1705
+ "f1": 0.7467811158798283,
1706
+ "number": 1602,
1707
+ "precision": 0.7925718290119131,
1708
+ "recall": 0.7059925093632958
1709
+ },
1710
+ "eval_NORP": {
1711
+ "f1": 0.8882978723404255,
1712
+ "number": 5690,
1713
+ "precision": 0.8677505866577271,
1714
+ "recall": 0.909841827768014
1715
+ },
1716
+ "eval_PER": {
1717
+ "f1": 0.9284789444478698,
1718
+ "number": 16183,
1719
+ "precision": 0.9264226391879422,
1720
+ "recall": 0.9305443984428103
1721
+ },
1722
+ "eval_loss": 0.1979084610939026,
1723
+ "eval_overall_accuracy": 0.972808837890625,
1724
+ "eval_overall_f1": 0.8887100290088367,
1725
+ "eval_overall_precision": 0.8888739811491632,
1726
+ "eval_overall_recall": 0.8885461373390557,
1727
+ "eval_runtime": 34.2132,
1728
+ "eval_samples_per_second": 123.812,
1729
+ "eval_steps_per_second": 15.491,
1730
+ "step": 20500
1731
+ },
1732
+ {
1733
+ "epoch": 9.91,
1734
+ "learning_rate": 1.7932987258140632e-07,
1735
+ "loss": 0.0057,
1736
+ "step": 21000
1737
+ },
1738
+ {
1739
+ "epoch": 9.91,
1740
+ "eval_LOC": {
1741
+ "f1": 0.8203578528827038,
1742
+ "number": 6349,
1743
+ "precision": 0.8284612913588179,
1744
+ "recall": 0.8124114033706096
1745
+ },
1746
+ "eval_MISC": {
1747
+ "f1": 0.748,
1748
+ "number": 1602,
1749
+ "precision": 0.8025751072961373,
1750
+ "recall": 0.700374531835206
1751
+ },
1752
+ "eval_NORP": {
1753
+ "f1": 0.8893664574916187,
1754
+ "number": 5690,
1755
+ "precision": 0.8704358068315665,
1756
+ "recall": 0.9091388400702988
1757
+ },
1758
+ "eval_PER": {
1759
+ "f1": 0.9278439602493672,
1760
+ "number": 16183,
1761
+ "precision": 0.9268142302238116,
1762
+ "recall": 0.9288759809676821
1763
+ },
1764
+ "eval_loss": 0.19716496765613556,
1765
+ "eval_overall_accuracy": 0.9727630615234375,
1766
+ "eval_overall_f1": 0.8886092937426606,
1767
+ "eval_overall_precision": 0.8891761230108104,
1768
+ "eval_overall_recall": 0.8880431866952789,
1769
+ "eval_runtime": 34.0058,
1770
+ "eval_samples_per_second": 124.567,
1771
+ "eval_steps_per_second": 15.586,
1772
+ "step": 21000
1773
+ }
1774
+ ],
1775
+ "max_steps": 21190,
1776
+ "num_train_epochs": 10,
1777
+ "total_flos": 8856293355753336.0,
1778
+ "trial_name": null,
1779
+ "trial_params": null
1780
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3fbc8399115666d9f122d90acf36c2334aa64ca15e6d86d505c9d53cc11e2d5
3
+ size 4088
vocab.txt ADDED
The diff for this file is too large to render. See raw diff