napsternxg commited on
Commit
2a6c12f
1 Parent(s): b2e04b7

Fixed tokenization and added test eval

Browse files
README.md CHANGED
@@ -1,89 +1,82 @@
1
- ---
2
- license: apache-2.0
3
- tags:
4
- - generated_from_trainer
5
- datasets:
6
- - wnut_17
7
- model-index:
8
- - name: fine_tune_bert_output
9
- results: []
10
- ---
11
-
12
- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
- should probably proofread and complete it, then remove this comment. -->
14
-
15
- # Bertweet-base finetuned on wnut17_ner
16
-
17
- This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the [wnut_17](https://huggingface.co/datasets/wnut_17) dataset.
18
- It achieves the following results on the evaluation set:
19
- - Loss: 0.3504
20
- - Overall Precision: 0.6850
21
- - Overall Recall: 0.6196
22
- - Overall F1: 0.6507
23
- - Overall Accuracy: 0.9502
24
- - Corporation F1: 0.2626
25
- - Creative-work F1: 0.4460
26
- - Group F1: 0.3692
27
- - Location F1: 0.7283
28
- - Person F1: 0.7928
29
- - Product F1: 0.3852
30
-
31
- ## Model description
32
-
33
- More information needed
34
-
35
- ## Intended uses & limitations
36
-
37
- More information needed
38
-
39
- ## Training and evaluation data
40
-
41
- More information needed
42
-
43
- ## Training procedure
44
-
45
- ### Training hyperparameters
46
-
47
- The following hyperparameters were used during training:
48
- - learning_rate: 2e-05
49
- - train_batch_size: 16
50
- - eval_batch_size: 16
51
- - seed: 42
52
- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
53
- - lr_scheduler_type: linear
54
- - num_epochs: 100
55
-
56
- ### Training results
57
-
58
- | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Corporation F1 | Creative-work F1 | Group F1 | Location F1 | Person F1 | Product F1 |
59
- |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:----------------:|:--------:|:-----------:|:---------:|:----------:|
60
- | 0.2954 | 1.0 | 213 | 0.4357 | 0.0 | 0.0 | 0.0 | 0.8979 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
61
- | 0.1654 | 2.0 | 426 | 0.3435 | 0.5890 | 0.3929 | 0.4714 | 0.9307 | 0.0 | 0.0 | 0.0 | 0.4444 | 0.6181 | 0.0 |
62
- | 0.1213 | 3.0 | 639 | 0.2981 | 0.6425 | 0.4776 | 0.5479 | 0.9380 | 0.1961 | 0.0565 | 0.1720 | 0.5507 | 0.7285 | 0.0 |
63
- | 0.051 | 4.0 | 852 | 0.2958 | 0.7020 | 0.4892 | 0.5766 | 0.9430 | 0.2540 | 0.3458 | 0.2157 | 0.63 | 0.73 | 0.2388 |
64
- | 0.0503 | 5.0 | 1065 | 0.3154 | 0.6659 | 0.5033 | 0.5733 | 0.9429 | 0.2373 | 0.3365 | 0.3212 | 0.6 | 0.7223 | 0.2896 |
65
- | 0.026 | 6.0 | 1278 | 0.2787 | 0.6768 | 0.5706 | 0.6192 | 0.9479 | 0.256 | 0.4163 | 0.3699 | 0.7107 | 0.7717 | 0.3052 |
66
- | 0.0271 | 7.0 | 1491 | 0.2940 | 0.7122 | 0.5714 | 0.6341 | 0.9486 | 0.25 | 0.3982 | 0.3676 | 0.7033 | 0.7717 | 0.3460 |
67
- | 0.0239 | 8.0 | 1704 | 0.2872 | 0.6210 | 0.5839 | 0.6019 | 0.9461 | 0.2722 | 0.4188 | 0.2902 | 0.7389 | 0.7593 | 0.3597 |
68
- | 0.0155 | 9.0 | 1917 | 0.2910 | 0.6863 | 0.5905 | 0.6348 | 0.9494 | 0.2623 | 0.4959 | 0.3433 | 0.6878 | 0.7708 | 0.3614 |
69
- | 0.0122 | 10.0 | 2130 | 0.3067 | 0.6966 | 0.5797 | 0.6328 | 0.9490 | 0.2558 | 0.4609 | 0.3309 | 0.6842 | 0.7645 | 0.3835 |
70
- | 0.0161 | 11.0 | 2343 | 0.2782 | 0.6637 | 0.6096 | 0.6355 | 0.9502 | 0.3103 | 0.4710 | 0.4275 | 0.6811 | 0.7688 | 0.4110 |
71
- | 0.0232 | 12.0 | 2556 | 0.3123 | 0.6832 | 0.5822 | 0.6287 | 0.9495 | 0.3235 | 0.4722 | 0.4 | 0.7374 | 0.7568 | 0.4321 |
72
- | 0.012 | 13.0 | 2769 | 0.3161 | 0.6663 | 0.5573 | 0.6070 | 0.9475 | 0.2128 | 0.4474 | 0.3289 | 0.7243 | 0.7400 | 0.4130 |
73
- | 0.0051 | 14.0 | 2982 | 0.3241 | 0.7131 | 0.5864 | 0.6436 | 0.9498 | 0.3125 | 0.4839 | 0.3934 | 0.6952 | 0.7700 | 0.3802 |
74
- | 0.0096 | 15.0 | 3195 | 0.3140 | 0.6924 | 0.6321 | 0.6609 | 0.9520 | 0.3036 | 0.4542 | 0.3576 | 0.7312 | 0.7953 | 0.432 |
75
- | 0.0045 | 16.0 | 3408 | 0.3356 | 0.6917 | 0.6038 | 0.6448 | 0.9498 | 0.2899 | 0.4858 | 0.3582 | 0.6952 | 0.7840 | 0.4275 |
76
- | 0.0066 | 17.0 | 3621 | 0.3308 | 0.6738 | 0.6262 | 0.6492 | 0.9510 | 0.2957 | 0.4333 | 0.3673 | 0.6989 | 0.7954 | 0.3320 |
77
- | 0.0068 | 18.0 | 3834 | 0.3527 | 0.7157 | 0.6063 | 0.6565 | 0.9505 | 0.2353 | 0.4211 | 0.4058 | 0.7182 | 0.7991 | 0.3825 |
78
- | 0.0033 | 19.0 | 4047 | 0.3522 | 0.7298 | 0.6013 | 0.6594 | 0.9514 | 0.2093 | 0.4454 | 0.4390 | 0.7006 | 0.7912 | 0.4000 |
79
- | 0.0067 | 20.0 | 4260 | 0.3721 | 0.6859 | 0.5839 | 0.6308 | 0.9476 | 0.2774 | 0.3442 | 0.3881 | 0.7254 | 0.7844 | 0.3140 |
80
- | 0.0083 | 21.0 | 4473 | 0.3504 | 0.6850 | 0.6196 | 0.6507 | 0.9502 | 0.2626 | 0.4460 | 0.3692 | 0.7283 | 0.7928 | 0.3852 |
81
-
82
-
83
- ### Framework versions
84
-
85
- - Transformers 4.17.0
86
- - Pytorch 1.11.0+cu113
87
- - Datasets 2.0.0
88
- - Tokenizers 0.11.6
89
-
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - wnut_17
7
+ model-index:
8
+ - name: fine_tune_bert_output
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # fine_tune_bert_output
16
+
17
+ This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the wnut_17 dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.3239
20
+ - Overall Precision: 0.6913
21
+ - Overall Recall: 0.5914
22
+ - Overall F1: 0.6374
23
+ - Overall Accuracy: 0.9499
24
+ - Corporation F1: 0.2703
25
+ - Creative-work F1: 0.3636
26
+ - Group F1: 0.4030
27
+ - Location F1: 0.7500
28
+ - Person F1: 0.7733
29
+ - Product F1: 0.4152
30
+
31
+ ## Model description
32
+
33
+ More information needed
34
+
35
+ ## Intended uses & limitations
36
+
37
+ More information needed
38
+
39
+ ## Training and evaluation data
40
+
41
+ More information needed
42
+
43
+ ## Training procedure
44
+
45
+ ### Training hyperparameters
46
+
47
+ The following hyperparameters were used during training:
48
+ - learning_rate: 2e-05
49
+ - train_batch_size: 16
50
+ - eval_batch_size: 16
51
+ - seed: 42
52
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
53
+ - lr_scheduler_type: linear
54
+ - num_epochs: 100
55
+
56
+ ### Training results
57
+
58
+ | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Corporation F1 | Creative-work F1 | Group F1 | Location F1 | Person F1 | Product F1 |
59
+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:----------------:|:--------:|:-----------:|:---------:|:----------:|
60
+ | 0.2691 | 1.0 | 213 | 0.4035 | 0.0 | 0.0 | 0.0 | 0.8979 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
61
+ | 0.1604 | 2.0 | 426 | 0.3054 | 0.6255 | 0.4161 | 0.4998 | 0.9324 | 0.0 | 0.0 | 0.0 | 0.3534 | 0.6877 | 0.0 |
62
+ | 0.1118 | 3.0 | 639 | 0.2864 | 0.6655 | 0.4643 | 0.5470 | 0.9404 | 0.1961 | 0.1164 | 0.1538 | 0.5803 | 0.7221 | 0.1865 |
63
+ | 0.0524 | 4.0 | 852 | 0.2891 | 0.6945 | 0.5042 | 0.5842 | 0.9442 | 0.2017 | 0.3273 | 0.2472 | 0.6522 | 0.7366 | 0.2581 |
64
+ | 0.0446 | 5.0 | 1065 | 0.2691 | 0.6815 | 0.5847 | 0.6294 | 0.9486 | 0.2737 | 0.3415 | 0.3007 | 0.6703 | 0.7768 | 0.3243 |
65
+ | 0.0296 | 6.0 | 1278 | 0.2739 | 0.6740 | 0.5615 | 0.6126 | 0.9479 | 0.3065 | 0.3766 | 0.3333 | 0.7 | 0.7582 | 0.3472 |
66
+ | 0.0261 | 7.0 | 1491 | 0.3150 | 0.6907 | 0.5415 | 0.6071 | 0.9457 | 0.2292 | 0.3350 | 0.304 | 0.6369 | 0.7547 | 0.2982 |
67
+ | 0.0193 | 8.0 | 1704 | 0.2922 | 0.6957 | 0.5772 | 0.6310 | 0.9496 | 0.2887 | 0.3621 | 0.3676 | 0.7475 | 0.7645 | 0.4158 |
68
+ | 0.0173 | 9.0 | 1917 | 0.2823 | 0.6845 | 0.5963 | 0.6374 | 0.9501 | 0.25 | 0.3863 | 0.3660 | 0.6729 | 0.7810 | 0.4064 |
69
+ | 0.0227 | 10.0 | 2130 | 0.2912 | 0.6719 | 0.5681 | 0.6157 | 0.9482 | 0.2268 | 0.3797 | 0.3625 | 0.7045 | 0.7572 | 0.4286 |
70
+ | 0.0185 | 11.0 | 2343 | 0.3140 | 0.6941 | 0.5598 | 0.6198 | 0.9482 | 0.2532 | 0.3896 | 0.3382 | 0.7059 | 0.7601 | 0.3961 |
71
+ | 0.0221 | 12.0 | 2556 | 0.3527 | 0.6937 | 0.5473 | 0.6119 | 0.9470 | 0.3220 | 0.3687 | 0.35 | 0.7245 | 0.7502 | 0.3308 |
72
+ | 0.0099 | 13.0 | 2769 | 0.3332 | 0.6872 | 0.5748 | 0.6260 | 0.9493 | 0.3168 | 0.3782 | 0.3597 | 0.7391 | 0.7627 | 0.4027 |
73
+ | 0.0062 | 14.0 | 2982 | 0.3637 | 0.7287 | 0.5465 | 0.6246 | 0.9479 | 0.25 | 0.3700 | 0.4065 | 0.7340 | 0.7526 | 0.3468 |
74
+ | 0.0075 | 15.0 | 3195 | 0.3239 | 0.6913 | 0.5914 | 0.6374 | 0.9499 | 0.2703 | 0.3636 | 0.4030 | 0.7500 | 0.7733 | 0.4152 |
75
+
76
+
77
+ ### Framework versions
78
+
79
+ - Transformers 4.17.0
80
+ - Pytorch 1.11.0+cu113
81
+ - Datasets 2.0.0
82
+ - Tokenizers 0.11.6
 
 
 
 
 
 
 
all_results.json CHANGED
@@ -1,32 +1,46 @@
1
  {
2
- "epoch": 21.0,
3
- "total_flos": 1641754006788696.0,
4
- "train_corporation_f1": 0.9816971713810316,
5
- "train_creative-work_f1": 0.9383886255924171,
6
- "train_group_f1": 0.9757343550447,
7
- "train_location_f1": 0.9845758354755784,
8
- "train_loss": 0.008754712529480457,
9
- "train_overall_accuracy": 0.9985107796641235,
10
- "train_overall_f1": 0.9778966131907308,
11
- "train_overall_precision": 0.9723502304147466,
12
- "train_overall_recall": 0.9835066332018645,
13
- "train_person_f1": 0.9893795416433762,
14
- "train_product_f1": 0.9455337690631808,
15
- "train_runtime": 16.7057,
16
- "train_samples_per_second": 203.164,
17
- "train_steps_per_second": 12.75,
18
- "validation_corporation_f1": 0.3103448275862069,
19
- "validation_creative-work_f1": 0.47104247104247104,
20
- "validation_group_f1": 0.42748091603053434,
21
- "validation_location_f1": 0.6810810810810811,
22
- "validation_loss": 0.2782056927680969,
23
- "validation_overall_accuracy": 0.9502437284508382,
24
- "validation_overall_f1": 0.6354978354978356,
25
- "validation_overall_precision": 0.6636528028933092,
26
- "validation_overall_recall": 0.6096345514950167,
27
- "validation_person_f1": 0.7687548337200311,
28
- "validation_product_f1": 0.4110429447852761,
29
- "validation_runtime": 6.5808,
30
- "validation_samples_per_second": 153.325,
31
- "validation_steps_per_second": 9.725
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  {
2
+ "epoch": 15.0,
3
+ "test_corporation_f1": 0.22680412371134023,
4
+ "test_creative-work_f1": 0.3375796178343949,
5
+ "test_group_f1": 0.3180722891566265,
6
+ "test_location_f1": 0.5961538461538461,
7
+ "test_loss": 0.27450963854789734,
8
+ "test_overall_accuracy": 0.9475309541150765,
9
+ "test_overall_f1": 0.5243938940436995,
10
+ "test_overall_precision": 0.6208362863217576,
11
+ "test_overall_recall": 0.4538860103626943,
12
+ "test_person_f1": 0.6735751295336786,
13
+ "test_product_f1": 0.1962264150943396,
14
+ "test_runtime": 7.5404,
15
+ "test_samples_per_second": 170.68,
16
+ "test_steps_per_second": 10.742,
17
+ "total_flos": 1172435714212020.0,
18
+ "train_corporation_f1": 0.8200972447325771,
19
+ "train_creative-work_f1": 0.8151898734177214,
20
+ "train_group_f1": 0.8691358024691358,
21
+ "train_location_f1": 0.9257142857142856,
22
+ "train_loss": 0.03221079334616661,
23
+ "train_overall_accuracy": 0.9946731734139803,
24
+ "train_overall_f1": 0.8949512843224092,
25
+ "train_overall_precision": 0.884453781512605,
26
+ "train_overall_recall": 0.9057009680889208,
27
+ "train_person_f1": 0.9489291598023064,
28
+ "train_product_f1": 0.7822014051522247,
29
+ "train_runtime": 13.2179,
30
+ "train_samples_per_second": 256.773,
31
+ "train_steps_per_second": 16.114,
32
+ "validation_corporation_f1": 0.2736842105263158,
33
+ "validation_creative-work_f1": 0.34146341463414637,
34
+ "validation_group_f1": 0.3006535947712418,
35
+ "validation_location_f1": 0.6703296703296703,
36
+ "validation_loss": 0.2690572142601013,
37
+ "validation_overall_accuracy": 0.9486386874331233,
38
+ "validation_overall_f1": 0.629414394278051,
39
+ "validation_overall_precision": 0.6815101645692159,
40
+ "validation_overall_recall": 0.584717607973422,
41
+ "validation_person_f1": 0.7768115942028985,
42
+ "validation_product_f1": 0.32432432432432434,
43
+ "validation_runtime": 6.5668,
44
+ "validation_samples_per_second": 153.651,
45
+ "validation_steps_per_second": 9.746
46
+ }
config.json CHANGED
@@ -29,19 +29,19 @@
29
  "initializer_range": 0.02,
30
  "intermediate_size": 3072,
31
  "label2id": {
32
- "LABEL_0": 0,
33
- "LABEL_1": 1,
34
- "LABEL_10": 10,
35
- "LABEL_11": 11,
36
- "LABEL_12": 12,
37
- "LABEL_2": 2,
38
- "LABEL_3": 3,
39
- "LABEL_4": 4,
40
- "LABEL_5": 5,
41
- "LABEL_6": 6,
42
- "LABEL_7": 7,
43
- "LABEL_8": 8,
44
- "LABEL_9": 9
45
  },
46
  "layer_norm_eps": 1e-05,
47
  "max_position_embeddings": 130,
 
29
  "initializer_range": 0.02,
30
  "intermediate_size": 3072,
31
  "label2id": {
32
+ "B-corporation": 1,
33
+ "B-creative-work": 3,
34
+ "B-group": 5,
35
+ "B-location": 7,
36
+ "B-person": 9,
37
+ "B-product": 11,
38
+ "I-corporation": 2,
39
+ "I-creative-work": 4,
40
+ "I-group": 6,
41
+ "I-location": 8,
42
+ "I-person": 10,
43
+ "I-product": 12,
44
+ "O": 0
45
  },
46
  "layer_norm_eps": 1e-05,
47
  "max_position_embeddings": 130,
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f8c03ec350e0b96e236fd640760bc89a45c2e3627b25d849d74254945c595857
3
  size 537360049
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f317fe36e0066121ed30bbfacd0922a679b5025542899fd1d264d7ee3755a9f
3
  size 537360049
test_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "test_corporation_f1": 0.22680412371134023,
4
+ "test_creative-work_f1": 0.3375796178343949,
5
+ "test_group_f1": 0.3180722891566265,
6
+ "test_location_f1": 0.5961538461538461,
7
+ "test_loss": 0.27450963854789734,
8
+ "test_overall_accuracy": 0.9475309541150765,
9
+ "test_overall_f1": 0.5243938940436995,
10
+ "test_overall_precision": 0.6208362863217576,
11
+ "test_overall_recall": 0.4538860103626943,
12
+ "test_person_f1": 0.6735751295336786,
13
+ "test_product_f1": 0.1962264150943396,
14
+ "test_runtime": 7.5404,
15
+ "test_samples_per_second": 170.68,
16
+ "test_steps_per_second": 10.742
17
+ }
train_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "train_corporation_f1": 0.8200972447325771,
4
+ "train_creative-work_f1": 0.8151898734177214,
5
+ "train_group_f1": 0.8691358024691358,
6
+ "train_location_f1": 0.9257142857142856,
7
+ "train_loss": 0.03221079334616661,
8
+ "train_overall_accuracy": 0.9946731734139803,
9
+ "train_overall_f1": 0.8949512843224092,
10
+ "train_overall_precision": 0.884453781512605,
11
+ "train_overall_recall": 0.9057009680889208,
12
+ "train_person_f1": 0.9489291598023064,
13
+ "train_product_f1": 0.7822014051522247,
14
+ "train_runtime": 13.2179,
15
+ "train_samples_per_second": 256.773,
16
+ "train_steps_per_second": 16.114
17
+ }
trainer_state.json ADDED
@@ -0,0 +1,2215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.2690572142601013,
3
+ "best_model_checkpoint": "./fine_tune_bert_output/checkpoint-1065",
4
+ "epoch": 15.0,
5
+ "global_step": 3195,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 1.999906103286385e-05,
13
+ "loss": 2.6192,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 1.99906103286385e-05,
19
+ "loss": 1.6847,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.09,
24
+ "learning_rate": 1.9981220657276997e-05,
25
+ "loss": 0.6569,
26
+ "step": 20
27
+ },
28
+ {
29
+ "epoch": 0.14,
30
+ "learning_rate": 1.9971830985915494e-05,
31
+ "loss": 0.3745,
32
+ "step": 30
33
+ },
34
+ {
35
+ "epoch": 0.19,
36
+ "learning_rate": 1.9962441314553992e-05,
37
+ "loss": 0.3366,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.23,
42
+ "learning_rate": 1.995305164319249e-05,
43
+ "loss": 0.3634,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.28,
48
+ "learning_rate": 1.9943661971830987e-05,
49
+ "loss": 0.331,
50
+ "step": 60
51
+ },
52
+ {
53
+ "epoch": 0.33,
54
+ "learning_rate": 1.9934272300469485e-05,
55
+ "loss": 0.3005,
56
+ "step": 70
57
+ },
58
+ {
59
+ "epoch": 0.38,
60
+ "learning_rate": 1.9924882629107982e-05,
61
+ "loss": 0.3371,
62
+ "step": 80
63
+ },
64
+ {
65
+ "epoch": 0.42,
66
+ "learning_rate": 1.991549295774648e-05,
67
+ "loss": 0.3082,
68
+ "step": 90
69
+ },
70
+ {
71
+ "epoch": 0.47,
72
+ "learning_rate": 1.9906103286384977e-05,
73
+ "loss": 0.3887,
74
+ "step": 100
75
+ },
76
+ {
77
+ "epoch": 0.52,
78
+ "learning_rate": 1.9896713615023475e-05,
79
+ "loss": 0.2901,
80
+ "step": 110
81
+ },
82
+ {
83
+ "epoch": 0.56,
84
+ "learning_rate": 1.9887323943661973e-05,
85
+ "loss": 0.3117,
86
+ "step": 120
87
+ },
88
+ {
89
+ "epoch": 0.61,
90
+ "learning_rate": 1.9877934272300474e-05,
91
+ "loss": 0.3219,
92
+ "step": 130
93
+ },
94
+ {
95
+ "epoch": 0.66,
96
+ "learning_rate": 1.9868544600938968e-05,
97
+ "loss": 0.3424,
98
+ "step": 140
99
+ },
100
+ {
101
+ "epoch": 0.7,
102
+ "learning_rate": 1.9859154929577465e-05,
103
+ "loss": 0.3169,
104
+ "step": 150
105
+ },
106
+ {
107
+ "epoch": 0.75,
108
+ "learning_rate": 1.9849765258215966e-05,
109
+ "loss": 0.3056,
110
+ "step": 160
111
+ },
112
+ {
113
+ "epoch": 0.8,
114
+ "learning_rate": 1.984037558685446e-05,
115
+ "loss": 0.298,
116
+ "step": 170
117
+ },
118
+ {
119
+ "epoch": 0.85,
120
+ "learning_rate": 1.9830985915492958e-05,
121
+ "loss": 0.2622,
122
+ "step": 180
123
+ },
124
+ {
125
+ "epoch": 0.89,
126
+ "learning_rate": 1.982159624413146e-05,
127
+ "loss": 0.2267,
128
+ "step": 190
129
+ },
130
+ {
131
+ "epoch": 0.94,
132
+ "learning_rate": 1.9812206572769953e-05,
133
+ "loss": 0.2567,
134
+ "step": 200
135
+ },
136
+ {
137
+ "epoch": 0.99,
138
+ "learning_rate": 1.9802816901408454e-05,
139
+ "loss": 0.2691,
140
+ "step": 210
141
+ },
142
+ {
143
+ "epoch": 1.0,
144
+ "eval_corporation_f1": 0.0,
145
+ "eval_creative-work_f1": 0.0,
146
+ "eval_group_f1": 0.0,
147
+ "eval_location_f1": 0.0,
148
+ "eval_loss": 0.4035243093967438,
149
+ "eval_overall_accuracy": 0.8979312804660563,
150
+ "eval_overall_f1": 0.0,
151
+ "eval_overall_precision": 0.0,
152
+ "eval_overall_recall": 0.0,
153
+ "eval_person_f1": 0.0,
154
+ "eval_product_f1": 0.0,
155
+ "eval_runtime": 5.2489,
156
+ "eval_samples_per_second": 192.229,
157
+ "eval_steps_per_second": 12.193,
158
+ "step": 213
159
+ },
160
+ {
161
+ "epoch": 1.03,
162
+ "learning_rate": 1.9793427230046952e-05,
163
+ "loss": 0.2481,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 1.08,
168
+ "learning_rate": 1.9784037558685446e-05,
169
+ "loss": 0.2141,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 1.13,
174
+ "learning_rate": 1.9774647887323947e-05,
175
+ "loss": 0.201,
176
+ "step": 240
177
+ },
178
+ {
179
+ "epoch": 1.17,
180
+ "learning_rate": 1.9765258215962445e-05,
181
+ "loss": 0.211,
182
+ "step": 250
183
+ },
184
+ {
185
+ "epoch": 1.22,
186
+ "learning_rate": 1.975586854460094e-05,
187
+ "loss": 0.2825,
188
+ "step": 260
189
+ },
190
+ {
191
+ "epoch": 1.27,
192
+ "learning_rate": 1.974647887323944e-05,
193
+ "loss": 0.1779,
194
+ "step": 270
195
+ },
196
+ {
197
+ "epoch": 1.31,
198
+ "learning_rate": 1.9737089201877937e-05,
199
+ "loss": 0.1794,
200
+ "step": 280
201
+ },
202
+ {
203
+ "epoch": 1.36,
204
+ "learning_rate": 1.972769953051643e-05,
205
+ "loss": 0.1838,
206
+ "step": 290
207
+ },
208
+ {
209
+ "epoch": 1.41,
210
+ "learning_rate": 1.9718309859154933e-05,
211
+ "loss": 0.1716,
212
+ "step": 300
213
+ },
214
+ {
215
+ "epoch": 1.46,
216
+ "learning_rate": 1.9708920187793427e-05,
217
+ "loss": 0.215,
218
+ "step": 310
219
+ },
220
+ {
221
+ "epoch": 1.5,
222
+ "learning_rate": 1.9699530516431928e-05,
223
+ "loss": 0.1581,
224
+ "step": 320
225
+ },
226
+ {
227
+ "epoch": 1.55,
228
+ "learning_rate": 1.9690140845070425e-05,
229
+ "loss": 0.2208,
230
+ "step": 330
231
+ },
232
+ {
233
+ "epoch": 1.6,
234
+ "learning_rate": 1.968075117370892e-05,
235
+ "loss": 0.176,
236
+ "step": 340
237
+ },
238
+ {
239
+ "epoch": 1.64,
240
+ "learning_rate": 1.967136150234742e-05,
241
+ "loss": 0.1615,
242
+ "step": 350
243
+ },
244
+ {
245
+ "epoch": 1.69,
246
+ "learning_rate": 1.9661971830985918e-05,
247
+ "loss": 0.1776,
248
+ "step": 360
249
+ },
250
+ {
251
+ "epoch": 1.74,
252
+ "learning_rate": 1.9652582159624412e-05,
253
+ "loss": 0.181,
254
+ "step": 370
255
+ },
256
+ {
257
+ "epoch": 1.78,
258
+ "learning_rate": 1.9643192488262913e-05,
259
+ "loss": 0.1619,
260
+ "step": 380
261
+ },
262
+ {
263
+ "epoch": 1.83,
264
+ "learning_rate": 1.963380281690141e-05,
265
+ "loss": 0.1635,
266
+ "step": 390
267
+ },
268
+ {
269
+ "epoch": 1.88,
270
+ "learning_rate": 1.962441314553991e-05,
271
+ "loss": 0.1613,
272
+ "step": 400
273
+ },
274
+ {
275
+ "epoch": 1.92,
276
+ "learning_rate": 1.9615023474178406e-05,
277
+ "loss": 0.1767,
278
+ "step": 410
279
+ },
280
+ {
281
+ "epoch": 1.97,
282
+ "learning_rate": 1.9605633802816904e-05,
283
+ "loss": 0.1604,
284
+ "step": 420
285
+ },
286
+ {
287
+ "epoch": 2.0,
288
+ "eval_corporation_f1": 0.0,
289
+ "eval_creative-work_f1": 0.0,
290
+ "eval_group_f1": 0.0,
291
+ "eval_location_f1": 0.35341365461847396,
292
+ "eval_loss": 0.3053900897502899,
293
+ "eval_overall_accuracy": 0.9324099393651171,
294
+ "eval_overall_f1": 0.4997506234413965,
295
+ "eval_overall_precision": 0.6254681647940075,
296
+ "eval_overall_recall": 0.4161129568106312,
297
+ "eval_person_f1": 0.6877351392024078,
298
+ "eval_product_f1": 0.0,
299
+ "eval_runtime": 5.2536,
300
+ "eval_samples_per_second": 192.06,
301
+ "eval_steps_per_second": 12.182,
302
+ "step": 426
303
+ },
304
+ {
305
+ "epoch": 2.02,
306
+ "learning_rate": 1.95962441314554e-05,
307
+ "loss": 0.1743,
308
+ "step": 430
309
+ },
310
+ {
311
+ "epoch": 2.07,
312
+ "learning_rate": 1.95868544600939e-05,
313
+ "loss": 0.1375,
314
+ "step": 440
315
+ },
316
+ {
317
+ "epoch": 2.11,
318
+ "learning_rate": 1.9577464788732396e-05,
319
+ "loss": 0.1216,
320
+ "step": 450
321
+ },
322
+ {
323
+ "epoch": 2.16,
324
+ "learning_rate": 1.9568075117370894e-05,
325
+ "loss": 0.1184,
326
+ "step": 460
327
+ },
328
+ {
329
+ "epoch": 2.21,
330
+ "learning_rate": 1.955868544600939e-05,
331
+ "loss": 0.1318,
332
+ "step": 470
333
+ },
334
+ {
335
+ "epoch": 2.25,
336
+ "learning_rate": 1.954929577464789e-05,
337
+ "loss": 0.1388,
338
+ "step": 480
339
+ },
340
+ {
341
+ "epoch": 2.3,
342
+ "learning_rate": 1.9539906103286387e-05,
343
+ "loss": 0.0979,
344
+ "step": 490
345
+ },
346
+ {
347
+ "epoch": 2.35,
348
+ "learning_rate": 1.9530516431924884e-05,
349
+ "loss": 0.1566,
350
+ "step": 500
351
+ },
352
+ {
353
+ "epoch": 2.39,
354
+ "learning_rate": 1.9521126760563382e-05,
355
+ "loss": 0.112,
356
+ "step": 510
357
+ },
358
+ {
359
+ "epoch": 2.44,
360
+ "learning_rate": 1.951173708920188e-05,
361
+ "loss": 0.1084,
362
+ "step": 520
363
+ },
364
+ {
365
+ "epoch": 2.49,
366
+ "learning_rate": 1.9502347417840377e-05,
367
+ "loss": 0.1319,
368
+ "step": 530
369
+ },
370
+ {
371
+ "epoch": 2.54,
372
+ "learning_rate": 1.9492957746478875e-05,
373
+ "loss": 0.0861,
374
+ "step": 540
375
+ },
376
+ {
377
+ "epoch": 2.58,
378
+ "learning_rate": 1.9483568075117372e-05,
379
+ "loss": 0.078,
380
+ "step": 550
381
+ },
382
+ {
383
+ "epoch": 2.63,
384
+ "learning_rate": 1.947417840375587e-05,
385
+ "loss": 0.1164,
386
+ "step": 560
387
+ },
388
+ {
389
+ "epoch": 2.68,
390
+ "learning_rate": 1.9464788732394367e-05,
391
+ "loss": 0.1113,
392
+ "step": 570
393
+ },
394
+ {
395
+ "epoch": 2.72,
396
+ "learning_rate": 1.9455399061032865e-05,
397
+ "loss": 0.1429,
398
+ "step": 580
399
+ },
400
+ {
401
+ "epoch": 2.77,
402
+ "learning_rate": 1.9446009389671362e-05,
403
+ "loss": 0.0821,
404
+ "step": 590
405
+ },
406
+ {
407
+ "epoch": 2.82,
408
+ "learning_rate": 1.943661971830986e-05,
409
+ "loss": 0.1092,
410
+ "step": 600
411
+ },
412
+ {
413
+ "epoch": 2.86,
414
+ "learning_rate": 1.9427230046948358e-05,
415
+ "loss": 0.088,
416
+ "step": 610
417
+ },
418
+ {
419
+ "epoch": 2.91,
420
+ "learning_rate": 1.9417840375586855e-05,
421
+ "loss": 0.0994,
422
+ "step": 620
423
+ },
424
+ {
425
+ "epoch": 2.96,
426
+ "learning_rate": 1.9408450704225356e-05,
427
+ "loss": 0.1118,
428
+ "step": 630
429
+ },
430
+ {
431
+ "epoch": 3.0,
432
+ "eval_corporation_f1": 0.19607843137254902,
433
+ "eval_creative-work_f1": 0.11640211640211641,
434
+ "eval_group_f1": 0.15384615384615383,
435
+ "eval_location_f1": 0.5803108808290156,
436
+ "eval_loss": 0.2864352762699127,
437
+ "eval_overall_accuracy": 0.9404351444536916,
438
+ "eval_overall_f1": 0.5469667318982387,
439
+ "eval_overall_precision": 0.6654761904761904,
440
+ "eval_overall_recall": 0.4642857142857143,
441
+ "eval_person_f1": 0.7220902612826603,
442
+ "eval_product_f1": 0.18652849740932645,
443
+ "eval_runtime": 6.5005,
444
+ "eval_samples_per_second": 155.22,
445
+ "eval_steps_per_second": 9.845,
446
+ "step": 639
447
+ },
448
+ {
449
+ "epoch": 3.0,
450
+ "learning_rate": 1.939906103286385e-05,
451
+ "loss": 0.0867,
452
+ "step": 640
453
+ },
454
+ {
455
+ "epoch": 3.05,
456
+ "learning_rate": 1.9389671361502348e-05,
457
+ "loss": 0.0856,
458
+ "step": 650
459
+ },
460
+ {
461
+ "epoch": 3.1,
462
+ "learning_rate": 1.938028169014085e-05,
463
+ "loss": 0.0787,
464
+ "step": 660
465
+ },
466
+ {
467
+ "epoch": 3.15,
468
+ "learning_rate": 1.9370892018779343e-05,
469
+ "loss": 0.1159,
470
+ "step": 670
471
+ },
472
+ {
473
+ "epoch": 3.19,
474
+ "learning_rate": 1.936150234741784e-05,
475
+ "loss": 0.0728,
476
+ "step": 680
477
+ },
478
+ {
479
+ "epoch": 3.24,
480
+ "learning_rate": 1.935211267605634e-05,
481
+ "loss": 0.0641,
482
+ "step": 690
483
+ },
484
+ {
485
+ "epoch": 3.29,
486
+ "learning_rate": 1.9342723004694836e-05,
487
+ "loss": 0.0787,
488
+ "step": 700
489
+ },
490
+ {
491
+ "epoch": 3.33,
492
+ "learning_rate": 1.9333333333333333e-05,
493
+ "loss": 0.0639,
494
+ "step": 710
495
+ },
496
+ {
497
+ "epoch": 3.38,
498
+ "learning_rate": 1.9323943661971834e-05,
499
+ "loss": 0.0604,
500
+ "step": 720
501
+ },
502
+ {
503
+ "epoch": 3.43,
504
+ "learning_rate": 1.931455399061033e-05,
505
+ "loss": 0.069,
506
+ "step": 730
507
+ },
508
+ {
509
+ "epoch": 3.47,
510
+ "learning_rate": 1.930516431924883e-05,
511
+ "loss": 0.066,
512
+ "step": 740
513
+ },
514
+ {
515
+ "epoch": 3.52,
516
+ "learning_rate": 1.9295774647887327e-05,
517
+ "loss": 0.0645,
518
+ "step": 750
519
+ },
520
+ {
521
+ "epoch": 3.57,
522
+ "learning_rate": 1.928638497652582e-05,
523
+ "loss": 0.0656,
524
+ "step": 760
525
+ },
526
+ {
527
+ "epoch": 3.62,
528
+ "learning_rate": 1.9276995305164322e-05,
529
+ "loss": 0.0598,
530
+ "step": 770
531
+ },
532
+ {
533
+ "epoch": 3.66,
534
+ "learning_rate": 1.926760563380282e-05,
535
+ "loss": 0.0791,
536
+ "step": 780
537
+ },
538
+ {
539
+ "epoch": 3.71,
540
+ "learning_rate": 1.9258215962441314e-05,
541
+ "loss": 0.0723,
542
+ "step": 790
543
+ },
544
+ {
545
+ "epoch": 3.76,
546
+ "learning_rate": 1.9248826291079815e-05,
547
+ "loss": 0.0898,
548
+ "step": 800
549
+ },
550
+ {
551
+ "epoch": 3.8,
552
+ "learning_rate": 1.9239436619718313e-05,
553
+ "loss": 0.0543,
554
+ "step": 810
555
+ },
556
+ {
557
+ "epoch": 3.85,
558
+ "learning_rate": 1.923004694835681e-05,
559
+ "loss": 0.0797,
560
+ "step": 820
561
+ },
562
+ {
563
+ "epoch": 3.9,
564
+ "learning_rate": 1.9220657276995308e-05,
565
+ "loss": 0.0749,
566
+ "step": 830
567
+ },
568
+ {
569
+ "epoch": 3.94,
570
+ "learning_rate": 1.9211267605633805e-05,
571
+ "loss": 0.0547,
572
+ "step": 840
573
+ },
574
+ {
575
+ "epoch": 3.99,
576
+ "learning_rate": 1.9201877934272303e-05,
577
+ "loss": 0.0524,
578
+ "step": 850
579
+ },
580
+ {
581
+ "epoch": 4.0,
582
+ "eval_corporation_f1": 0.20168067226890757,
583
+ "eval_creative-work_f1": 0.32727272727272727,
584
+ "eval_group_f1": 0.24719101123595505,
585
+ "eval_location_f1": 0.6521739130434783,
586
+ "eval_loss": 0.289055734872818,
587
+ "eval_overall_accuracy": 0.9442396861253121,
588
+ "eval_overall_f1": 0.5842155919153033,
589
+ "eval_overall_precision": 0.6945080091533181,
590
+ "eval_overall_recall": 0.5041528239202658,
591
+ "eval_person_f1": 0.7365892714171338,
592
+ "eval_product_f1": 0.25806451612903225,
593
+ "eval_runtime": 5.2651,
594
+ "eval_samples_per_second": 191.641,
595
+ "eval_steps_per_second": 12.156,
596
+ "step": 852
597
+ },
598
+ {
599
+ "epoch": 4.04,
600
+ "learning_rate": 1.91924882629108e-05,
601
+ "loss": 0.0596,
602
+ "step": 860
603
+ },
604
+ {
605
+ "epoch": 4.08,
606
+ "learning_rate": 1.9183098591549298e-05,
607
+ "loss": 0.0523,
608
+ "step": 870
609
+ },
610
+ {
611
+ "epoch": 4.13,
612
+ "learning_rate": 1.9173708920187796e-05,
613
+ "loss": 0.0608,
614
+ "step": 880
615
+ },
616
+ {
617
+ "epoch": 4.18,
618
+ "learning_rate": 1.9164319248826293e-05,
619
+ "loss": 0.0512,
620
+ "step": 890
621
+ },
622
+ {
623
+ "epoch": 4.23,
624
+ "learning_rate": 1.9154929577464788e-05,
625
+ "loss": 0.0434,
626
+ "step": 900
627
+ },
628
+ {
629
+ "epoch": 4.27,
630
+ "learning_rate": 1.914553990610329e-05,
631
+ "loss": 0.046,
632
+ "step": 910
633
+ },
634
+ {
635
+ "epoch": 4.32,
636
+ "learning_rate": 1.9136150234741786e-05,
637
+ "loss": 0.0677,
638
+ "step": 920
639
+ },
640
+ {
641
+ "epoch": 4.37,
642
+ "learning_rate": 1.9126760563380284e-05,
643
+ "loss": 0.052,
644
+ "step": 930
645
+ },
646
+ {
647
+ "epoch": 4.41,
648
+ "learning_rate": 1.911737089201878e-05,
649
+ "loss": 0.04,
650
+ "step": 940
651
+ },
652
+ {
653
+ "epoch": 4.46,
654
+ "learning_rate": 1.910798122065728e-05,
655
+ "loss": 0.0299,
656
+ "step": 950
657
+ },
658
+ {
659
+ "epoch": 4.51,
660
+ "learning_rate": 1.9098591549295776e-05,
661
+ "loss": 0.0736,
662
+ "step": 960
663
+ },
664
+ {
665
+ "epoch": 4.55,
666
+ "learning_rate": 1.9089201877934274e-05,
667
+ "loss": 0.0628,
668
+ "step": 970
669
+ },
670
+ {
671
+ "epoch": 4.6,
672
+ "learning_rate": 1.907981220657277e-05,
673
+ "loss": 0.0373,
674
+ "step": 980
675
+ },
676
+ {
677
+ "epoch": 4.65,
678
+ "learning_rate": 1.907042253521127e-05,
679
+ "loss": 0.0488,
680
+ "step": 990
681
+ },
682
+ {
683
+ "epoch": 4.69,
684
+ "learning_rate": 1.9061032863849767e-05,
685
+ "loss": 0.0612,
686
+ "step": 1000
687
+ },
688
+ {
689
+ "epoch": 4.74,
690
+ "learning_rate": 1.9051643192488264e-05,
691
+ "loss": 0.0329,
692
+ "step": 1010
693
+ },
694
+ {
695
+ "epoch": 4.79,
696
+ "learning_rate": 1.9042253521126762e-05,
697
+ "loss": 0.0408,
698
+ "step": 1020
699
+ },
700
+ {
701
+ "epoch": 4.84,
702
+ "learning_rate": 1.903286384976526e-05,
703
+ "loss": 0.0398,
704
+ "step": 1030
705
+ },
706
+ {
707
+ "epoch": 4.88,
708
+ "learning_rate": 1.9023474178403757e-05,
709
+ "loss": 0.0518,
710
+ "step": 1040
711
+ },
712
+ {
713
+ "epoch": 4.93,
714
+ "learning_rate": 1.9014084507042255e-05,
715
+ "loss": 0.0479,
716
+ "step": 1050
717
+ },
718
+ {
719
+ "epoch": 4.98,
720
+ "learning_rate": 1.9004694835680752e-05,
721
+ "loss": 0.0446,
722
+ "step": 1060
723
+ },
724
+ {
725
+ "epoch": 5.0,
726
+ "eval_corporation_f1": 0.2736842105263158,
727
+ "eval_creative-work_f1": 0.34146341463414637,
728
+ "eval_group_f1": 0.3006535947712418,
729
+ "eval_location_f1": 0.6703296703296703,
730
+ "eval_loss": 0.2690572142601013,
731
+ "eval_overall_accuracy": 0.9486386874331233,
732
+ "eval_overall_f1": 0.629414394278051,
733
+ "eval_overall_precision": 0.6815101645692159,
734
+ "eval_overall_recall": 0.584717607973422,
735
+ "eval_person_f1": 0.7768115942028985,
736
+ "eval_product_f1": 0.32432432432432434,
737
+ "eval_runtime": 6.4238,
738
+ "eval_samples_per_second": 157.073,
739
+ "eval_steps_per_second": 9.963,
740
+ "step": 1065
741
+ },
742
+ {
743
+ "epoch": 5.02,
744
+ "learning_rate": 1.899530516431925e-05,
745
+ "loss": 0.0301,
746
+ "step": 1070
747
+ },
748
+ {
749
+ "epoch": 5.07,
750
+ "learning_rate": 1.8985915492957747e-05,
751
+ "loss": 0.0341,
752
+ "step": 1080
753
+ },
754
+ {
755
+ "epoch": 5.12,
756
+ "learning_rate": 1.8976525821596245e-05,
757
+ "loss": 0.032,
758
+ "step": 1090
759
+ },
760
+ {
761
+ "epoch": 5.16,
762
+ "learning_rate": 1.8967136150234743e-05,
763
+ "loss": 0.0359,
764
+ "step": 1100
765
+ },
766
+ {
767
+ "epoch": 5.21,
768
+ "learning_rate": 1.895774647887324e-05,
769
+ "loss": 0.046,
770
+ "step": 1110
771
+ },
772
+ {
773
+ "epoch": 5.26,
774
+ "learning_rate": 1.8948356807511738e-05,
775
+ "loss": 0.0413,
776
+ "step": 1120
777
+ },
778
+ {
779
+ "epoch": 5.31,
780
+ "learning_rate": 1.8938967136150235e-05,
781
+ "loss": 0.0235,
782
+ "step": 1130
783
+ },
784
+ {
785
+ "epoch": 5.35,
786
+ "learning_rate": 1.8929577464788733e-05,
787
+ "loss": 0.0388,
788
+ "step": 1140
789
+ },
790
+ {
791
+ "epoch": 5.4,
792
+ "learning_rate": 1.892018779342723e-05,
793
+ "loss": 0.0409,
794
+ "step": 1150
795
+ },
796
+ {
797
+ "epoch": 5.45,
798
+ "learning_rate": 1.891079812206573e-05,
799
+ "loss": 0.0517,
800
+ "step": 1160
801
+ },
802
+ {
803
+ "epoch": 5.49,
804
+ "learning_rate": 1.8901408450704226e-05,
805
+ "loss": 0.029,
806
+ "step": 1170
807
+ },
808
+ {
809
+ "epoch": 5.54,
810
+ "learning_rate": 1.8892018779342723e-05,
811
+ "loss": 0.0248,
812
+ "step": 1180
813
+ },
814
+ {
815
+ "epoch": 5.59,
816
+ "learning_rate": 1.8882629107981224e-05,
817
+ "loss": 0.0347,
818
+ "step": 1190
819
+ },
820
+ {
821
+ "epoch": 5.63,
822
+ "learning_rate": 1.887323943661972e-05,
823
+ "loss": 0.0392,
824
+ "step": 1200
825
+ },
826
+ {
827
+ "epoch": 5.68,
828
+ "learning_rate": 1.8863849765258216e-05,
829
+ "loss": 0.0308,
830
+ "step": 1210
831
+ },
832
+ {
833
+ "epoch": 5.73,
834
+ "learning_rate": 1.8854460093896717e-05,
835
+ "loss": 0.0534,
836
+ "step": 1220
837
+ },
838
+ {
839
+ "epoch": 5.77,
840
+ "learning_rate": 1.884507042253521e-05,
841
+ "loss": 0.0555,
842
+ "step": 1230
843
+ },
844
+ {
845
+ "epoch": 5.82,
846
+ "learning_rate": 1.8835680751173712e-05,
847
+ "loss": 0.0461,
848
+ "step": 1240
849
+ },
850
+ {
851
+ "epoch": 5.87,
852
+ "learning_rate": 1.882629107981221e-05,
853
+ "loss": 0.0424,
854
+ "step": 1250
855
+ },
856
+ {
857
+ "epoch": 5.92,
858
+ "learning_rate": 1.8816901408450704e-05,
859
+ "loss": 0.0286,
860
+ "step": 1260
861
+ },
862
+ {
863
+ "epoch": 5.96,
864
+ "learning_rate": 1.8807511737089205e-05,
865
+ "loss": 0.0296,
866
+ "step": 1270
867
+ },
868
+ {
869
+ "epoch": 6.0,
870
+ "eval_corporation_f1": 0.3064516129032258,
871
+ "eval_creative-work_f1": 0.37656903765690375,
872
+ "eval_group_f1": 0.33333333333333337,
873
+ "eval_location_f1": 0.7,
874
+ "eval_loss": 0.27394580841064453,
875
+ "eval_overall_accuracy": 0.9479253358696944,
876
+ "eval_overall_f1": 0.6125962845491617,
877
+ "eval_overall_precision": 0.6739780658025922,
878
+ "eval_overall_recall": 0.5614617940199336,
879
+ "eval_person_f1": 0.7581803671189147,
880
+ "eval_product_f1": 0.3471698113207547,
881
+ "eval_runtime": 6.7404,
882
+ "eval_samples_per_second": 149.695,
883
+ "eval_steps_per_second": 9.495,
884
+ "step": 1278
885
+ },
886
+ {
887
+ "epoch": 6.01,
888
+ "learning_rate": 1.8798122065727702e-05,
889
+ "loss": 0.0288,
890
+ "step": 1280
891
+ },
892
+ {
893
+ "epoch": 6.06,
894
+ "learning_rate": 1.8788732394366197e-05,
895
+ "loss": 0.0235,
896
+ "step": 1290
897
+ },
898
+ {
899
+ "epoch": 6.1,
900
+ "learning_rate": 1.8779342723004698e-05,
901
+ "loss": 0.0211,
902
+ "step": 1300
903
+ },
904
+ {
905
+ "epoch": 6.15,
906
+ "learning_rate": 1.8769953051643195e-05,
907
+ "loss": 0.0359,
908
+ "step": 1310
909
+ },
910
+ {
911
+ "epoch": 6.2,
912
+ "learning_rate": 1.876056338028169e-05,
913
+ "loss": 0.0264,
914
+ "step": 1320
915
+ },
916
+ {
917
+ "epoch": 6.24,
918
+ "learning_rate": 1.875117370892019e-05,
919
+ "loss": 0.0288,
920
+ "step": 1330
921
+ },
922
+ {
923
+ "epoch": 6.29,
924
+ "learning_rate": 1.8741784037558688e-05,
925
+ "loss": 0.0328,
926
+ "step": 1340
927
+ },
928
+ {
929
+ "epoch": 6.34,
930
+ "learning_rate": 1.8732394366197186e-05,
931
+ "loss": 0.0402,
932
+ "step": 1350
933
+ },
934
+ {
935
+ "epoch": 6.38,
936
+ "learning_rate": 1.8723004694835683e-05,
937
+ "loss": 0.0216,
938
+ "step": 1360
939
+ },
940
+ {
941
+ "epoch": 6.43,
942
+ "learning_rate": 1.871361502347418e-05,
943
+ "loss": 0.0288,
944
+ "step": 1370
945
+ },
946
+ {
947
+ "epoch": 6.48,
948
+ "learning_rate": 1.870422535211268e-05,
949
+ "loss": 0.0204,
950
+ "step": 1380
951
+ },
952
+ {
953
+ "epoch": 6.53,
954
+ "learning_rate": 1.8694835680751176e-05,
955
+ "loss": 0.0402,
956
+ "step": 1390
957
+ },
958
+ {
959
+ "epoch": 6.57,
960
+ "learning_rate": 1.8685446009389673e-05,
961
+ "loss": 0.0274,
962
+ "step": 1400
963
+ },
964
+ {
965
+ "epoch": 6.62,
966
+ "learning_rate": 1.867605633802817e-05,
967
+ "loss": 0.0393,
968
+ "step": 1410
969
+ },
970
+ {
971
+ "epoch": 6.67,
972
+ "learning_rate": 1.866666666666667e-05,
973
+ "loss": 0.0237,
974
+ "step": 1420
975
+ },
976
+ {
977
+ "epoch": 6.71,
978
+ "learning_rate": 1.8657276995305166e-05,
979
+ "loss": 0.0262,
980
+ "step": 1430
981
+ },
982
+ {
983
+ "epoch": 6.76,
984
+ "learning_rate": 1.8647887323943664e-05,
985
+ "loss": 0.0226,
986
+ "step": 1440
987
+ },
988
+ {
989
+ "epoch": 6.81,
990
+ "learning_rate": 1.863849765258216e-05,
991
+ "loss": 0.0334,
992
+ "step": 1450
993
+ },
994
+ {
995
+ "epoch": 6.85,
996
+ "learning_rate": 1.862910798122066e-05,
997
+ "loss": 0.0451,
998
+ "step": 1460
999
+ },
1000
+ {
1001
+ "epoch": 6.9,
1002
+ "learning_rate": 1.8619718309859157e-05,
1003
+ "loss": 0.0134,
1004
+ "step": 1470
1005
+ },
1006
+ {
1007
+ "epoch": 6.95,
1008
+ "learning_rate": 1.8610328638497654e-05,
1009
+ "loss": 0.0252,
1010
+ "step": 1480
1011
+ },
1012
+ {
1013
+ "epoch": 7.0,
1014
+ "learning_rate": 1.8600938967136152e-05,
1015
+ "loss": 0.0261,
1016
+ "step": 1490
1017
+ },
1018
+ {
1019
+ "epoch": 7.0,
1020
+ "eval_corporation_f1": 0.22916666666666666,
1021
+ "eval_creative-work_f1": 0.33497536945812806,
1022
+ "eval_group_f1": 0.304,
1023
+ "eval_location_f1": 0.6368715083798884,
1024
+ "eval_loss": 0.3150090277194977,
1025
+ "eval_overall_accuracy": 0.9456663892521697,
1026
+ "eval_overall_f1": 0.6070763500931099,
1027
+ "eval_overall_precision": 0.690677966101695,
1028
+ "eval_overall_recall": 0.5415282392026578,
1029
+ "eval_person_f1": 0.7547456340167047,
1030
+ "eval_product_f1": 0.29824561403508776,
1031
+ "eval_runtime": 6.8397,
1032
+ "eval_samples_per_second": 147.521,
1033
+ "eval_steps_per_second": 9.357,
1034
+ "step": 1491
1035
+ },
1036
+ {
1037
+ "epoch": 7.04,
1038
+ "learning_rate": 1.859154929577465e-05,
1039
+ "loss": 0.0539,
1040
+ "step": 1500
1041
+ },
1042
+ {
1043
+ "epoch": 7.09,
1044
+ "learning_rate": 1.8582159624413147e-05,
1045
+ "loss": 0.0173,
1046
+ "step": 1510
1047
+ },
1048
+ {
1049
+ "epoch": 7.14,
1050
+ "learning_rate": 1.8572769953051644e-05,
1051
+ "loss": 0.0261,
1052
+ "step": 1520
1053
+ },
1054
+ {
1055
+ "epoch": 7.18,
1056
+ "learning_rate": 1.8563380281690142e-05,
1057
+ "loss": 0.0199,
1058
+ "step": 1530
1059
+ },
1060
+ {
1061
+ "epoch": 7.23,
1062
+ "learning_rate": 1.855399061032864e-05,
1063
+ "loss": 0.0233,
1064
+ "step": 1540
1065
+ },
1066
+ {
1067
+ "epoch": 7.28,
1068
+ "learning_rate": 1.8544600938967137e-05,
1069
+ "loss": 0.024,
1070
+ "step": 1550
1071
+ },
1072
+ {
1073
+ "epoch": 7.32,
1074
+ "learning_rate": 1.8535211267605635e-05,
1075
+ "loss": 0.0141,
1076
+ "step": 1560
1077
+ },
1078
+ {
1079
+ "epoch": 7.37,
1080
+ "learning_rate": 1.8525821596244132e-05,
1081
+ "loss": 0.0257,
1082
+ "step": 1570
1083
+ },
1084
+ {
1085
+ "epoch": 7.42,
1086
+ "learning_rate": 1.851643192488263e-05,
1087
+ "loss": 0.0249,
1088
+ "step": 1580
1089
+ },
1090
+ {
1091
+ "epoch": 7.46,
1092
+ "learning_rate": 1.8507042253521128e-05,
1093
+ "loss": 0.0244,
1094
+ "step": 1590
1095
+ },
1096
+ {
1097
+ "epoch": 7.51,
1098
+ "learning_rate": 1.8497652582159625e-05,
1099
+ "loss": 0.0164,
1100
+ "step": 1600
1101
+ },
1102
+ {
1103
+ "epoch": 7.56,
1104
+ "learning_rate": 1.8488262910798123e-05,
1105
+ "loss": 0.0161,
1106
+ "step": 1610
1107
+ },
1108
+ {
1109
+ "epoch": 7.61,
1110
+ "learning_rate": 1.847887323943662e-05,
1111
+ "loss": 0.0387,
1112
+ "step": 1620
1113
+ },
1114
+ {
1115
+ "epoch": 7.65,
1116
+ "learning_rate": 1.8469483568075118e-05,
1117
+ "loss": 0.0315,
1118
+ "step": 1630
1119
+ },
1120
+ {
1121
+ "epoch": 7.7,
1122
+ "learning_rate": 1.8460093896713615e-05,
1123
+ "loss": 0.0232,
1124
+ "step": 1640
1125
+ },
1126
+ {
1127
+ "epoch": 7.75,
1128
+ "learning_rate": 1.8450704225352113e-05,
1129
+ "loss": 0.0337,
1130
+ "step": 1650
1131
+ },
1132
+ {
1133
+ "epoch": 7.79,
1134
+ "learning_rate": 1.8441314553990614e-05,
1135
+ "loss": 0.0195,
1136
+ "step": 1660
1137
+ },
1138
+ {
1139
+ "epoch": 7.84,
1140
+ "learning_rate": 1.8431924882629108e-05,
1141
+ "loss": 0.0155,
1142
+ "step": 1670
1143
+ },
1144
+ {
1145
+ "epoch": 7.89,
1146
+ "learning_rate": 1.8422535211267606e-05,
1147
+ "loss": 0.0338,
1148
+ "step": 1680
1149
+ },
1150
+ {
1151
+ "epoch": 7.93,
1152
+ "learning_rate": 1.8413145539906107e-05,
1153
+ "loss": 0.0211,
1154
+ "step": 1690
1155
+ },
1156
+ {
1157
+ "epoch": 7.98,
1158
+ "learning_rate": 1.84037558685446e-05,
1159
+ "loss": 0.0193,
1160
+ "step": 1700
1161
+ },
1162
+ {
1163
+ "epoch": 8.0,
1164
+ "eval_corporation_f1": 0.288659793814433,
1165
+ "eval_creative-work_f1": 0.36206896551724144,
1166
+ "eval_group_f1": 0.3676470588235294,
1167
+ "eval_location_f1": 0.7474747474747475,
1168
+ "eval_loss": 0.292193740606308,
1169
+ "eval_overall_accuracy": 0.9496492688146475,
1170
+ "eval_overall_f1": 0.6309577848388561,
1171
+ "eval_overall_precision": 0.6956956956956957,
1172
+ "eval_overall_recall": 0.5772425249169435,
1173
+ "eval_person_f1": 0.7644726407613005,
1174
+ "eval_product_f1": 0.4157706093189964,
1175
+ "eval_runtime": 6.4302,
1176
+ "eval_samples_per_second": 156.916,
1177
+ "eval_steps_per_second": 9.953,
1178
+ "step": 1704
1179
+ },
1180
+ {
1181
+ "epoch": 8.03,
1182
+ "learning_rate": 1.83943661971831e-05,
1183
+ "loss": 0.014,
1184
+ "step": 1710
1185
+ },
1186
+ {
1187
+ "epoch": 8.08,
1188
+ "learning_rate": 1.83849765258216e-05,
1189
+ "loss": 0.011,
1190
+ "step": 1720
1191
+ },
1192
+ {
1193
+ "epoch": 8.12,
1194
+ "learning_rate": 1.8375586854460094e-05,
1195
+ "loss": 0.0326,
1196
+ "step": 1730
1197
+ },
1198
+ {
1199
+ "epoch": 8.17,
1200
+ "learning_rate": 1.836619718309859e-05,
1201
+ "loss": 0.0183,
1202
+ "step": 1740
1203
+ },
1204
+ {
1205
+ "epoch": 8.22,
1206
+ "learning_rate": 1.8356807511737092e-05,
1207
+ "loss": 0.0117,
1208
+ "step": 1750
1209
+ },
1210
+ {
1211
+ "epoch": 8.26,
1212
+ "learning_rate": 1.8347417840375586e-05,
1213
+ "loss": 0.0159,
1214
+ "step": 1760
1215
+ },
1216
+ {
1217
+ "epoch": 8.31,
1218
+ "learning_rate": 1.8338028169014087e-05,
1219
+ "loss": 0.0347,
1220
+ "step": 1770
1221
+ },
1222
+ {
1223
+ "epoch": 8.36,
1224
+ "learning_rate": 1.8328638497652585e-05,
1225
+ "loss": 0.0177,
1226
+ "step": 1780
1227
+ },
1228
+ {
1229
+ "epoch": 8.4,
1230
+ "learning_rate": 1.831924882629108e-05,
1231
+ "loss": 0.0176,
1232
+ "step": 1790
1233
+ },
1234
+ {
1235
+ "epoch": 8.45,
1236
+ "learning_rate": 1.830985915492958e-05,
1237
+ "loss": 0.0088,
1238
+ "step": 1800
1239
+ },
1240
+ {
1241
+ "epoch": 8.5,
1242
+ "learning_rate": 1.8300469483568078e-05,
1243
+ "loss": 0.0185,
1244
+ "step": 1810
1245
+ },
1246
+ {
1247
+ "epoch": 8.54,
1248
+ "learning_rate": 1.8291079812206572e-05,
1249
+ "loss": 0.0313,
1250
+ "step": 1820
1251
+ },
1252
+ {
1253
+ "epoch": 8.59,
1254
+ "learning_rate": 1.8281690140845073e-05,
1255
+ "loss": 0.0252,
1256
+ "step": 1830
1257
+ },
1258
+ {
1259
+ "epoch": 8.64,
1260
+ "learning_rate": 1.827230046948357e-05,
1261
+ "loss": 0.0212,
1262
+ "step": 1840
1263
+ },
1264
+ {
1265
+ "epoch": 8.69,
1266
+ "learning_rate": 1.8262910798122068e-05,
1267
+ "loss": 0.0309,
1268
+ "step": 1850
1269
+ },
1270
+ {
1271
+ "epoch": 8.73,
1272
+ "learning_rate": 1.8253521126760566e-05,
1273
+ "loss": 0.0165,
1274
+ "step": 1860
1275
+ },
1276
+ {
1277
+ "epoch": 8.78,
1278
+ "learning_rate": 1.8244131455399063e-05,
1279
+ "loss": 0.0151,
1280
+ "step": 1870
1281
+ },
1282
+ {
1283
+ "epoch": 8.83,
1284
+ "learning_rate": 1.823474178403756e-05,
1285
+ "loss": 0.0107,
1286
+ "step": 1880
1287
+ },
1288
+ {
1289
+ "epoch": 8.87,
1290
+ "learning_rate": 1.822535211267606e-05,
1291
+ "loss": 0.0144,
1292
+ "step": 1890
1293
+ },
1294
+ {
1295
+ "epoch": 8.92,
1296
+ "learning_rate": 1.8215962441314556e-05,
1297
+ "loss": 0.0163,
1298
+ "step": 1900
1299
+ },
1300
+ {
1301
+ "epoch": 8.97,
1302
+ "learning_rate": 1.8206572769953054e-05,
1303
+ "loss": 0.0173,
1304
+ "step": 1910
1305
+ },
1306
+ {
1307
+ "epoch": 9.0,
1308
+ "eval_corporation_f1": 0.25,
1309
+ "eval_creative-work_f1": 0.38626609442060084,
1310
+ "eval_group_f1": 0.3660130718954248,
1311
+ "eval_location_f1": 0.6728971962616823,
1312
+ "eval_loss": 0.28229841589927673,
1313
+ "eval_overall_accuracy": 0.9501248365236,
1314
+ "eval_overall_f1": 0.6373723923657345,
1315
+ "eval_overall_precision": 0.684461391801716,
1316
+ "eval_overall_recall": 0.5963455149501661,
1317
+ "eval_person_f1": 0.7810107197549772,
1318
+ "eval_product_f1": 0.40637450199203184,
1319
+ "eval_runtime": 6.479,
1320
+ "eval_samples_per_second": 155.733,
1321
+ "eval_steps_per_second": 9.878,
1322
+ "step": 1917
1323
+ },
1324
+ {
1325
+ "epoch": 9.01,
1326
+ "learning_rate": 1.819718309859155e-05,
1327
+ "loss": 0.014,
1328
+ "step": 1920
1329
+ },
1330
+ {
1331
+ "epoch": 9.06,
1332
+ "learning_rate": 1.818779342723005e-05,
1333
+ "loss": 0.0112,
1334
+ "step": 1930
1335
+ },
1336
+ {
1337
+ "epoch": 9.11,
1338
+ "learning_rate": 1.8178403755868546e-05,
1339
+ "loss": 0.0232,
1340
+ "step": 1940
1341
+ },
1342
+ {
1343
+ "epoch": 9.15,
1344
+ "learning_rate": 1.8169014084507044e-05,
1345
+ "loss": 0.0143,
1346
+ "step": 1950
1347
+ },
1348
+ {
1349
+ "epoch": 9.2,
1350
+ "learning_rate": 1.815962441314554e-05,
1351
+ "loss": 0.0248,
1352
+ "step": 1960
1353
+ },
1354
+ {
1355
+ "epoch": 9.25,
1356
+ "learning_rate": 1.815023474178404e-05,
1357
+ "loss": 0.0198,
1358
+ "step": 1970
1359
+ },
1360
+ {
1361
+ "epoch": 9.3,
1362
+ "learning_rate": 1.8140845070422537e-05,
1363
+ "loss": 0.0095,
1364
+ "step": 1980
1365
+ },
1366
+ {
1367
+ "epoch": 9.34,
1368
+ "learning_rate": 1.8131455399061034e-05,
1369
+ "loss": 0.0142,
1370
+ "step": 1990
1371
+ },
1372
+ {
1373
+ "epoch": 9.39,
1374
+ "learning_rate": 1.8122065727699532e-05,
1375
+ "loss": 0.008,
1376
+ "step": 2000
1377
+ },
1378
+ {
1379
+ "epoch": 9.44,
1380
+ "learning_rate": 1.811267605633803e-05,
1381
+ "loss": 0.0103,
1382
+ "step": 2010
1383
+ },
1384
+ {
1385
+ "epoch": 9.48,
1386
+ "learning_rate": 1.8103286384976527e-05,
1387
+ "loss": 0.0215,
1388
+ "step": 2020
1389
+ },
1390
+ {
1391
+ "epoch": 9.53,
1392
+ "learning_rate": 1.8093896713615025e-05,
1393
+ "loss": 0.0332,
1394
+ "step": 2030
1395
+ },
1396
+ {
1397
+ "epoch": 9.58,
1398
+ "learning_rate": 1.8084507042253522e-05,
1399
+ "loss": 0.0146,
1400
+ "step": 2040
1401
+ },
1402
+ {
1403
+ "epoch": 9.62,
1404
+ "learning_rate": 1.807511737089202e-05,
1405
+ "loss": 0.0179,
1406
+ "step": 2050
1407
+ },
1408
+ {
1409
+ "epoch": 9.67,
1410
+ "learning_rate": 1.8065727699530517e-05,
1411
+ "loss": 0.0162,
1412
+ "step": 2060
1413
+ },
1414
+ {
1415
+ "epoch": 9.72,
1416
+ "learning_rate": 1.8056338028169015e-05,
1417
+ "loss": 0.0182,
1418
+ "step": 2070
1419
+ },
1420
+ {
1421
+ "epoch": 9.77,
1422
+ "learning_rate": 1.8046948356807513e-05,
1423
+ "loss": 0.0166,
1424
+ "step": 2080
1425
+ },
1426
+ {
1427
+ "epoch": 9.81,
1428
+ "learning_rate": 1.803755868544601e-05,
1429
+ "loss": 0.0077,
1430
+ "step": 2090
1431
+ },
1432
+ {
1433
+ "epoch": 9.86,
1434
+ "learning_rate": 1.8028169014084508e-05,
1435
+ "loss": 0.0141,
1436
+ "step": 2100
1437
+ },
1438
+ {
1439
+ "epoch": 9.91,
1440
+ "learning_rate": 1.8018779342723005e-05,
1441
+ "loss": 0.0163,
1442
+ "step": 2110
1443
+ },
1444
+ {
1445
+ "epoch": 9.95,
1446
+ "learning_rate": 1.8009389671361503e-05,
1447
+ "loss": 0.0141,
1448
+ "step": 2120
1449
+ },
1450
+ {
1451
+ "epoch": 10.0,
1452
+ "learning_rate": 1.8e-05,
1453
+ "loss": 0.0227,
1454
+ "step": 2130
1455
+ },
1456
+ {
1457
+ "epoch": 10.0,
1458
+ "eval_corporation_f1": 0.2268041237113402,
1459
+ "eval_creative-work_f1": 0.379746835443038,
1460
+ "eval_group_f1": 0.36249999999999993,
1461
+ "eval_location_f1": 0.7045454545454545,
1462
+ "eval_loss": 0.29116329550743103,
1463
+ "eval_overall_accuracy": 0.9481631197241708,
1464
+ "eval_overall_f1": 0.6156615661566157,
1465
+ "eval_overall_precision": 0.6719056974459725,
1466
+ "eval_overall_recall": 0.5681063122923588,
1467
+ "eval_person_f1": 0.757234726688103,
1468
+ "eval_product_f1": 0.4285714285714286,
1469
+ "eval_runtime": 3.3974,
1470
+ "eval_samples_per_second": 296.989,
1471
+ "eval_steps_per_second": 18.838,
1472
+ "step": 2130
1473
+ },
1474
+ {
1475
+ "epoch": 10.05,
1476
+ "learning_rate": 1.7990610328638498e-05,
1477
+ "loss": 0.0116,
1478
+ "step": 2140
1479
+ },
1480
+ {
1481
+ "epoch": 10.09,
1482
+ "learning_rate": 1.7981220657276996e-05,
1483
+ "loss": 0.01,
1484
+ "step": 2150
1485
+ },
1486
+ {
1487
+ "epoch": 10.14,
1488
+ "learning_rate": 1.7971830985915497e-05,
1489
+ "loss": 0.021,
1490
+ "step": 2160
1491
+ },
1492
+ {
1493
+ "epoch": 10.19,
1494
+ "learning_rate": 1.796244131455399e-05,
1495
+ "loss": 0.0075,
1496
+ "step": 2170
1497
+ },
1498
+ {
1499
+ "epoch": 10.23,
1500
+ "learning_rate": 1.795305164319249e-05,
1501
+ "loss": 0.0281,
1502
+ "step": 2180
1503
+ },
1504
+ {
1505
+ "epoch": 10.28,
1506
+ "learning_rate": 1.794366197183099e-05,
1507
+ "loss": 0.0119,
1508
+ "step": 2190
1509
+ },
1510
+ {
1511
+ "epoch": 10.33,
1512
+ "learning_rate": 1.7934272300469484e-05,
1513
+ "loss": 0.009,
1514
+ "step": 2200
1515
+ },
1516
+ {
1517
+ "epoch": 10.38,
1518
+ "learning_rate": 1.792488262910798e-05,
1519
+ "loss": 0.0097,
1520
+ "step": 2210
1521
+ },
1522
+ {
1523
+ "epoch": 10.42,
1524
+ "learning_rate": 1.7915492957746482e-05,
1525
+ "loss": 0.0054,
1526
+ "step": 2220
1527
+ },
1528
+ {
1529
+ "epoch": 10.47,
1530
+ "learning_rate": 1.7906103286384976e-05,
1531
+ "loss": 0.0078,
1532
+ "step": 2230
1533
+ },
1534
+ {
1535
+ "epoch": 10.52,
1536
+ "learning_rate": 1.7896713615023474e-05,
1537
+ "loss": 0.0095,
1538
+ "step": 2240
1539
+ },
1540
+ {
1541
+ "epoch": 10.56,
1542
+ "learning_rate": 1.7887323943661975e-05,
1543
+ "loss": 0.0158,
1544
+ "step": 2250
1545
+ },
1546
+ {
1547
+ "epoch": 10.61,
1548
+ "learning_rate": 1.787793427230047e-05,
1549
+ "loss": 0.0199,
1550
+ "step": 2260
1551
+ },
1552
+ {
1553
+ "epoch": 10.66,
1554
+ "learning_rate": 1.786854460093897e-05,
1555
+ "loss": 0.0128,
1556
+ "step": 2270
1557
+ },
1558
+ {
1559
+ "epoch": 10.7,
1560
+ "learning_rate": 1.7859154929577468e-05,
1561
+ "loss": 0.019,
1562
+ "step": 2280
1563
+ },
1564
+ {
1565
+ "epoch": 10.75,
1566
+ "learning_rate": 1.7849765258215962e-05,
1567
+ "loss": 0.0096,
1568
+ "step": 2290
1569
+ },
1570
+ {
1571
+ "epoch": 10.8,
1572
+ "learning_rate": 1.7840375586854463e-05,
1573
+ "loss": 0.0155,
1574
+ "step": 2300
1575
+ },
1576
+ {
1577
+ "epoch": 10.85,
1578
+ "learning_rate": 1.783098591549296e-05,
1579
+ "loss": 0.008,
1580
+ "step": 2310
1581
+ },
1582
+ {
1583
+ "epoch": 10.89,
1584
+ "learning_rate": 1.7821596244131455e-05,
1585
+ "loss": 0.017,
1586
+ "step": 2320
1587
+ },
1588
+ {
1589
+ "epoch": 10.94,
1590
+ "learning_rate": 1.7812206572769956e-05,
1591
+ "loss": 0.0162,
1592
+ "step": 2330
1593
+ },
1594
+ {
1595
+ "epoch": 10.99,
1596
+ "learning_rate": 1.7802816901408453e-05,
1597
+ "loss": 0.0185,
1598
+ "step": 2340
1599
+ },
1600
+ {
1601
+ "epoch": 11.0,
1602
+ "eval_corporation_f1": 0.2531645569620253,
1603
+ "eval_creative-work_f1": 0.3896103896103896,
1604
+ "eval_group_f1": 0.338235294117647,
1605
+ "eval_location_f1": 0.7058823529411765,
1606
+ "eval_loss": 0.3139878213405609,
1607
+ "eval_overall_accuracy": 0.9482225656877898,
1608
+ "eval_overall_f1": 0.6197701149425288,
1609
+ "eval_overall_precision": 0.694129763130793,
1610
+ "eval_overall_recall": 0.5598006644518272,
1611
+ "eval_person_f1": 0.7601296596434362,
1612
+ "eval_product_f1": 0.3961038961038961,
1613
+ "eval_runtime": 6.297,
1614
+ "eval_samples_per_second": 160.235,
1615
+ "eval_steps_per_second": 10.164,
1616
+ "step": 2343
1617
+ },
1618
+ {
1619
+ "epoch": 11.03,
1620
+ "learning_rate": 1.779342723004695e-05,
1621
+ "loss": 0.0189,
1622
+ "step": 2350
1623
+ },
1624
+ {
1625
+ "epoch": 11.08,
1626
+ "learning_rate": 1.7784037558685448e-05,
1627
+ "loss": 0.0132,
1628
+ "step": 2360
1629
+ },
1630
+ {
1631
+ "epoch": 11.13,
1632
+ "learning_rate": 1.7774647887323946e-05,
1633
+ "loss": 0.0059,
1634
+ "step": 2370
1635
+ },
1636
+ {
1637
+ "epoch": 11.17,
1638
+ "learning_rate": 1.7765258215962443e-05,
1639
+ "loss": 0.0108,
1640
+ "step": 2380
1641
+ },
1642
+ {
1643
+ "epoch": 11.22,
1644
+ "learning_rate": 1.775586854460094e-05,
1645
+ "loss": 0.0101,
1646
+ "step": 2390
1647
+ },
1648
+ {
1649
+ "epoch": 11.27,
1650
+ "learning_rate": 1.774647887323944e-05,
1651
+ "loss": 0.0102,
1652
+ "step": 2400
1653
+ },
1654
+ {
1655
+ "epoch": 11.31,
1656
+ "learning_rate": 1.7737089201877936e-05,
1657
+ "loss": 0.0094,
1658
+ "step": 2410
1659
+ },
1660
+ {
1661
+ "epoch": 11.36,
1662
+ "learning_rate": 1.7727699530516434e-05,
1663
+ "loss": 0.0099,
1664
+ "step": 2420
1665
+ },
1666
+ {
1667
+ "epoch": 11.41,
1668
+ "learning_rate": 1.771830985915493e-05,
1669
+ "loss": 0.0068,
1670
+ "step": 2430
1671
+ },
1672
+ {
1673
+ "epoch": 11.46,
1674
+ "learning_rate": 1.770892018779343e-05,
1675
+ "loss": 0.0089,
1676
+ "step": 2440
1677
+ },
1678
+ {
1679
+ "epoch": 11.5,
1680
+ "learning_rate": 1.7699530516431927e-05,
1681
+ "loss": 0.0054,
1682
+ "step": 2450
1683
+ },
1684
+ {
1685
+ "epoch": 11.55,
1686
+ "learning_rate": 1.7690140845070424e-05,
1687
+ "loss": 0.0089,
1688
+ "step": 2460
1689
+ },
1690
+ {
1691
+ "epoch": 11.6,
1692
+ "learning_rate": 1.768075117370892e-05,
1693
+ "loss": 0.0076,
1694
+ "step": 2470
1695
+ },
1696
+ {
1697
+ "epoch": 11.64,
1698
+ "learning_rate": 1.767136150234742e-05,
1699
+ "loss": 0.0183,
1700
+ "step": 2480
1701
+ },
1702
+ {
1703
+ "epoch": 11.69,
1704
+ "learning_rate": 1.7661971830985917e-05,
1705
+ "loss": 0.0178,
1706
+ "step": 2490
1707
+ },
1708
+ {
1709
+ "epoch": 11.74,
1710
+ "learning_rate": 1.7652582159624414e-05,
1711
+ "loss": 0.0285,
1712
+ "step": 2500
1713
+ },
1714
+ {
1715
+ "epoch": 11.78,
1716
+ "learning_rate": 1.7643192488262912e-05,
1717
+ "loss": 0.0232,
1718
+ "step": 2510
1719
+ },
1720
+ {
1721
+ "epoch": 11.83,
1722
+ "learning_rate": 1.763380281690141e-05,
1723
+ "loss": 0.0071,
1724
+ "step": 2520
1725
+ },
1726
+ {
1727
+ "epoch": 11.88,
1728
+ "learning_rate": 1.7624413145539907e-05,
1729
+ "loss": 0.0132,
1730
+ "step": 2530
1731
+ },
1732
+ {
1733
+ "epoch": 11.92,
1734
+ "learning_rate": 1.7615023474178405e-05,
1735
+ "loss": 0.0046,
1736
+ "step": 2540
1737
+ },
1738
+ {
1739
+ "epoch": 11.97,
1740
+ "learning_rate": 1.7605633802816902e-05,
1741
+ "loss": 0.0221,
1742
+ "step": 2550
1743
+ },
1744
+ {
1745
+ "epoch": 12.0,
1746
+ "eval_corporation_f1": 0.3220338983050847,
1747
+ "eval_creative-work_f1": 0.3686635944700461,
1748
+ "eval_group_f1": 0.35,
1749
+ "eval_location_f1": 0.7244897959183673,
1750
+ "eval_loss": 0.3527165353298187,
1751
+ "eval_overall_accuracy": 0.9470336464154084,
1752
+ "eval_overall_f1": 0.6118848653667595,
1753
+ "eval_overall_precision": 0.6936842105263158,
1754
+ "eval_overall_recall": 0.5473421926910299,
1755
+ "eval_person_f1": 0.750202101859337,
1756
+ "eval_product_f1": 0.33082706766917297,
1757
+ "eval_runtime": 4.561,
1758
+ "eval_samples_per_second": 221.226,
1759
+ "eval_steps_per_second": 14.032,
1760
+ "step": 2556
1761
+ },
1762
+ {
1763
+ "epoch": 12.02,
1764
+ "learning_rate": 1.75962441314554e-05,
1765
+ "loss": 0.0095,
1766
+ "step": 2560
1767
+ },
1768
+ {
1769
+ "epoch": 12.07,
1770
+ "learning_rate": 1.7586854460093898e-05,
1771
+ "loss": 0.0089,
1772
+ "step": 2570
1773
+ },
1774
+ {
1775
+ "epoch": 12.11,
1776
+ "learning_rate": 1.75774647887324e-05,
1777
+ "loss": 0.0103,
1778
+ "step": 2580
1779
+ },
1780
+ {
1781
+ "epoch": 12.16,
1782
+ "learning_rate": 1.7568075117370893e-05,
1783
+ "loss": 0.02,
1784
+ "step": 2590
1785
+ },
1786
+ {
1787
+ "epoch": 12.21,
1788
+ "learning_rate": 1.755868544600939e-05,
1789
+ "loss": 0.0084,
1790
+ "step": 2600
1791
+ },
1792
+ {
1793
+ "epoch": 12.25,
1794
+ "learning_rate": 1.754929577464789e-05,
1795
+ "loss": 0.0129,
1796
+ "step": 2610
1797
+ },
1798
+ {
1799
+ "epoch": 12.3,
1800
+ "learning_rate": 1.7539906103286385e-05,
1801
+ "loss": 0.0094,
1802
+ "step": 2620
1803
+ },
1804
+ {
1805
+ "epoch": 12.35,
1806
+ "learning_rate": 1.7530516431924883e-05,
1807
+ "loss": 0.0054,
1808
+ "step": 2630
1809
+ },
1810
+ {
1811
+ "epoch": 12.39,
1812
+ "learning_rate": 1.7521126760563384e-05,
1813
+ "loss": 0.0132,
1814
+ "step": 2640
1815
+ },
1816
+ {
1817
+ "epoch": 12.44,
1818
+ "learning_rate": 1.7511737089201878e-05,
1819
+ "loss": 0.0064,
1820
+ "step": 2650
1821
+ },
1822
+ {
1823
+ "epoch": 12.49,
1824
+ "learning_rate": 1.7502347417840376e-05,
1825
+ "loss": 0.0152,
1826
+ "step": 2660
1827
+ },
1828
+ {
1829
+ "epoch": 12.54,
1830
+ "learning_rate": 1.7492957746478873e-05,
1831
+ "loss": 0.0104,
1832
+ "step": 2670
1833
+ },
1834
+ {
1835
+ "epoch": 12.58,
1836
+ "learning_rate": 1.748356807511737e-05,
1837
+ "loss": 0.0137,
1838
+ "step": 2680
1839
+ },
1840
+ {
1841
+ "epoch": 12.63,
1842
+ "learning_rate": 1.7474178403755872e-05,
1843
+ "loss": 0.0077,
1844
+ "step": 2690
1845
+ },
1846
+ {
1847
+ "epoch": 12.68,
1848
+ "learning_rate": 1.7464788732394366e-05,
1849
+ "loss": 0.0064,
1850
+ "step": 2700
1851
+ },
1852
+ {
1853
+ "epoch": 12.72,
1854
+ "learning_rate": 1.7455399061032864e-05,
1855
+ "loss": 0.0036,
1856
+ "step": 2710
1857
+ },
1858
+ {
1859
+ "epoch": 12.77,
1860
+ "learning_rate": 1.7446009389671365e-05,
1861
+ "loss": 0.0078,
1862
+ "step": 2720
1863
+ },
1864
+ {
1865
+ "epoch": 12.82,
1866
+ "learning_rate": 1.743661971830986e-05,
1867
+ "loss": 0.0077,
1868
+ "step": 2730
1869
+ },
1870
+ {
1871
+ "epoch": 12.86,
1872
+ "learning_rate": 1.7427230046948356e-05,
1873
+ "loss": 0.0203,
1874
+ "step": 2740
1875
+ },
1876
+ {
1877
+ "epoch": 12.91,
1878
+ "learning_rate": 1.7417840375586857e-05,
1879
+ "loss": 0.0089,
1880
+ "step": 2750
1881
+ },
1882
+ {
1883
+ "epoch": 12.96,
1884
+ "learning_rate": 1.740845070422535e-05,
1885
+ "loss": 0.0099,
1886
+ "step": 2760
1887
+ },
1888
+ {
1889
+ "epoch": 13.0,
1890
+ "eval_corporation_f1": 0.3168316831683168,
1891
+ "eval_creative-work_f1": 0.37815126050420167,
1892
+ "eval_group_f1": 0.3597122302158273,
1893
+ "eval_location_f1": 0.7391304347826086,
1894
+ "eval_loss": 0.33322253823280334,
1895
+ "eval_overall_accuracy": 0.9492925930329331,
1896
+ "eval_overall_f1": 0.6259611035730439,
1897
+ "eval_overall_precision": 0.6871896722939425,
1898
+ "eval_overall_recall": 0.574750830564784,
1899
+ "eval_person_f1": 0.7627388535031848,
1900
+ "eval_product_f1": 0.40273037542662116,
1901
+ "eval_runtime": 5.2031,
1902
+ "eval_samples_per_second": 193.924,
1903
+ "eval_steps_per_second": 12.3,
1904
+ "step": 2769
1905
+ },
1906
+ {
1907
+ "epoch": 13.0,
1908
+ "learning_rate": 1.7399061032863853e-05,
1909
+ "loss": 0.0221,
1910
+ "step": 2770
1911
+ },
1912
+ {
1913
+ "epoch": 13.05,
1914
+ "learning_rate": 1.738967136150235e-05,
1915
+ "loss": 0.0036,
1916
+ "step": 2780
1917
+ },
1918
+ {
1919
+ "epoch": 13.1,
1920
+ "learning_rate": 1.7380281690140844e-05,
1921
+ "loss": 0.01,
1922
+ "step": 2790
1923
+ },
1924
+ {
1925
+ "epoch": 13.15,
1926
+ "learning_rate": 1.7370892018779345e-05,
1927
+ "loss": 0.0064,
1928
+ "step": 2800
1929
+ },
1930
+ {
1931
+ "epoch": 13.19,
1932
+ "learning_rate": 1.7361502347417843e-05,
1933
+ "loss": 0.0045,
1934
+ "step": 2810
1935
+ },
1936
+ {
1937
+ "epoch": 13.24,
1938
+ "learning_rate": 1.7352112676056337e-05,
1939
+ "loss": 0.018,
1940
+ "step": 2820
1941
+ },
1942
+ {
1943
+ "epoch": 13.29,
1944
+ "learning_rate": 1.7342723004694838e-05,
1945
+ "loss": 0.0113,
1946
+ "step": 2830
1947
+ },
1948
+ {
1949
+ "epoch": 13.33,
1950
+ "learning_rate": 1.7333333333333336e-05,
1951
+ "loss": 0.0301,
1952
+ "step": 2840
1953
+ },
1954
+ {
1955
+ "epoch": 13.38,
1956
+ "learning_rate": 1.732394366197183e-05,
1957
+ "loss": 0.0114,
1958
+ "step": 2850
1959
+ },
1960
+ {
1961
+ "epoch": 13.43,
1962
+ "learning_rate": 1.731455399061033e-05,
1963
+ "loss": 0.006,
1964
+ "step": 2860
1965
+ },
1966
+ {
1967
+ "epoch": 13.47,
1968
+ "learning_rate": 1.730516431924883e-05,
1969
+ "loss": 0.0127,
1970
+ "step": 2870
1971
+ },
1972
+ {
1973
+ "epoch": 13.52,
1974
+ "learning_rate": 1.7295774647887326e-05,
1975
+ "loss": 0.0039,
1976
+ "step": 2880
1977
+ },
1978
+ {
1979
+ "epoch": 13.57,
1980
+ "learning_rate": 1.7286384976525824e-05,
1981
+ "loss": 0.008,
1982
+ "step": 2890
1983
+ },
1984
+ {
1985
+ "epoch": 13.62,
1986
+ "learning_rate": 1.727699530516432e-05,
1987
+ "loss": 0.011,
1988
+ "step": 2900
1989
+ },
1990
+ {
1991
+ "epoch": 13.66,
1992
+ "learning_rate": 1.726760563380282e-05,
1993
+ "loss": 0.0039,
1994
+ "step": 2910
1995
+ },
1996
+ {
1997
+ "epoch": 13.71,
1998
+ "learning_rate": 1.7258215962441316e-05,
1999
+ "loss": 0.0096,
2000
+ "step": 2920
2001
+ },
2002
+ {
2003
+ "epoch": 13.76,
2004
+ "learning_rate": 1.7248826291079814e-05,
2005
+ "loss": 0.0035,
2006
+ "step": 2930
2007
+ },
2008
+ {
2009
+ "epoch": 13.8,
2010
+ "learning_rate": 1.723943661971831e-05,
2011
+ "loss": 0.009,
2012
+ "step": 2940
2013
+ },
2014
+ {
2015
+ "epoch": 13.85,
2016
+ "learning_rate": 1.723004694835681e-05,
2017
+ "loss": 0.0124,
2018
+ "step": 2950
2019
+ },
2020
+ {
2021
+ "epoch": 13.9,
2022
+ "learning_rate": 1.7220657276995307e-05,
2023
+ "loss": 0.0082,
2024
+ "step": 2960
2025
+ },
2026
+ {
2027
+ "epoch": 13.94,
2028
+ "learning_rate": 1.7211267605633804e-05,
2029
+ "loss": 0.0186,
2030
+ "step": 2970
2031
+ },
2032
+ {
2033
+ "epoch": 13.99,
2034
+ "learning_rate": 1.7201877934272302e-05,
2035
+ "loss": 0.0062,
2036
+ "step": 2980
2037
+ },
2038
+ {
2039
+ "epoch": 14.0,
2040
+ "eval_corporation_f1": 0.25,
2041
+ "eval_creative-work_f1": 0.3700440528634361,
2042
+ "eval_group_f1": 0.4065040650406504,
2043
+ "eval_location_f1": 0.7340425531914893,
2044
+ "eval_loss": 0.36366626620292664,
2045
+ "eval_overall_accuracy": 0.9479253358696944,
2046
+ "eval_overall_f1": 0.6245847176079733,
2047
+ "eval_overall_precision": 0.7286821705426356,
2048
+ "eval_overall_recall": 0.5465116279069767,
2049
+ "eval_person_f1": 0.7526020816653322,
2050
+ "eval_product_f1": 0.346774193548387,
2051
+ "eval_runtime": 5.1869,
2052
+ "eval_samples_per_second": 194.527,
2053
+ "eval_steps_per_second": 12.339,
2054
+ "step": 2982
2055
+ },
2056
+ {
2057
+ "epoch": 14.04,
2058
+ "learning_rate": 1.71924882629108e-05,
2059
+ "loss": 0.0045,
2060
+ "step": 2990
2061
+ },
2062
+ {
2063
+ "epoch": 14.08,
2064
+ "learning_rate": 1.7183098591549297e-05,
2065
+ "loss": 0.0072,
2066
+ "step": 3000
2067
+ },
2068
+ {
2069
+ "epoch": 14.13,
2070
+ "learning_rate": 1.7173708920187795e-05,
2071
+ "loss": 0.0081,
2072
+ "step": 3010
2073
+ },
2074
+ {
2075
+ "epoch": 14.18,
2076
+ "learning_rate": 1.7164319248826292e-05,
2077
+ "loss": 0.0046,
2078
+ "step": 3020
2079
+ },
2080
+ {
2081
+ "epoch": 14.23,
2082
+ "learning_rate": 1.715492957746479e-05,
2083
+ "loss": 0.0088,
2084
+ "step": 3030
2085
+ },
2086
+ {
2087
+ "epoch": 14.27,
2088
+ "learning_rate": 1.7145539906103287e-05,
2089
+ "loss": 0.0047,
2090
+ "step": 3040
2091
+ },
2092
+ {
2093
+ "epoch": 14.32,
2094
+ "learning_rate": 1.7136150234741785e-05,
2095
+ "loss": 0.019,
2096
+ "step": 3050
2097
+ },
2098
+ {
2099
+ "epoch": 14.37,
2100
+ "learning_rate": 1.7126760563380282e-05,
2101
+ "loss": 0.0099,
2102
+ "step": 3060
2103
+ },
2104
+ {
2105
+ "epoch": 14.41,
2106
+ "learning_rate": 1.711737089201878e-05,
2107
+ "loss": 0.0038,
2108
+ "step": 3070
2109
+ },
2110
+ {
2111
+ "epoch": 14.46,
2112
+ "learning_rate": 1.7107981220657278e-05,
2113
+ "loss": 0.0114,
2114
+ "step": 3080
2115
+ },
2116
+ {
2117
+ "epoch": 14.51,
2118
+ "learning_rate": 1.7098591549295775e-05,
2119
+ "loss": 0.0146,
2120
+ "step": 3090
2121
+ },
2122
+ {
2123
+ "epoch": 14.55,
2124
+ "learning_rate": 1.7089201877934273e-05,
2125
+ "loss": 0.0117,
2126
+ "step": 3100
2127
+ },
2128
+ {
2129
+ "epoch": 14.6,
2130
+ "learning_rate": 1.7079812206572774e-05,
2131
+ "loss": 0.0056,
2132
+ "step": 3110
2133
+ },
2134
+ {
2135
+ "epoch": 14.65,
2136
+ "learning_rate": 1.7070422535211268e-05,
2137
+ "loss": 0.0059,
2138
+ "step": 3120
2139
+ },
2140
+ {
2141
+ "epoch": 14.69,
2142
+ "learning_rate": 1.7061032863849766e-05,
2143
+ "loss": 0.0122,
2144
+ "step": 3130
2145
+ },
2146
+ {
2147
+ "epoch": 14.74,
2148
+ "learning_rate": 1.7051643192488267e-05,
2149
+ "loss": 0.006,
2150
+ "step": 3140
2151
+ },
2152
+ {
2153
+ "epoch": 14.79,
2154
+ "learning_rate": 1.704225352112676e-05,
2155
+ "loss": 0.0115,
2156
+ "step": 3150
2157
+ },
2158
+ {
2159
+ "epoch": 14.84,
2160
+ "learning_rate": 1.703286384976526e-05,
2161
+ "loss": 0.0037,
2162
+ "step": 3160
2163
+ },
2164
+ {
2165
+ "epoch": 14.88,
2166
+ "learning_rate": 1.702347417840376e-05,
2167
+ "loss": 0.0207,
2168
+ "step": 3170
2169
+ },
2170
+ {
2171
+ "epoch": 14.93,
2172
+ "learning_rate": 1.7014084507042253e-05,
2173
+ "loss": 0.0102,
2174
+ "step": 3180
2175
+ },
2176
+ {
2177
+ "epoch": 14.98,
2178
+ "learning_rate": 1.7004694835680754e-05,
2179
+ "loss": 0.0075,
2180
+ "step": 3190
2181
+ },
2182
+ {
2183
+ "epoch": 15.0,
2184
+ "eval_corporation_f1": 0.27027027027027023,
2185
+ "eval_creative-work_f1": 0.36363636363636365,
2186
+ "eval_group_f1": 0.4029850746268656,
2187
+ "eval_location_f1": 0.7499999999999999,
2188
+ "eval_loss": 0.3238934278488159,
2189
+ "eval_overall_accuracy": 0.9498870526691238,
2190
+ "eval_overall_f1": 0.6374216651745748,
2191
+ "eval_overall_precision": 0.6912621359223301,
2192
+ "eval_overall_recall": 0.5913621262458472,
2193
+ "eval_person_f1": 0.7732919254658385,
2194
+ "eval_product_f1": 0.4152249134948097,
2195
+ "eval_runtime": 2.1734,
2196
+ "eval_samples_per_second": 464.252,
2197
+ "eval_steps_per_second": 29.447,
2198
+ "step": 3195
2199
+ },
2200
+ {
2201
+ "epoch": 15.0,
2202
+ "step": 3195,
2203
+ "total_flos": 1172435714212020.0,
2204
+ "train_loss": 0.06678202886758183,
2205
+ "train_runtime": 827.6844,
2206
+ "train_samples_per_second": 410.06,
2207
+ "train_steps_per_second": 25.734
2208
+ }
2209
+ ],
2210
+ "max_steps": 21300,
2211
+ "num_train_epochs": 100,
2212
+ "total_flos": 1172435714212020.0,
2213
+ "trial_name": null,
2214
+ "trial_params": null
2215
+ }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:259a9221284a45586f6726c8755c0afe9082933f4b71b4bec61c9f3dbafca40c
3
- size 3055
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b253bcb1457bfa60ed176f85c9f9a3a1a1d8e1e3b36aac487b353765c04f06ec
3
+ size 3119
validation_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "validation_corporation_f1": 0.2736842105263158,
4
+ "validation_creative-work_f1": 0.34146341463414637,
5
+ "validation_group_f1": 0.3006535947712418,
6
+ "validation_location_f1": 0.6703296703296703,
7
+ "validation_loss": 0.2690572142601013,
8
+ "validation_overall_accuracy": 0.9486386874331233,
9
+ "validation_overall_f1": 0.629414394278051,
10
+ "validation_overall_precision": 0.6815101645692159,
11
+ "validation_overall_recall": 0.584717607973422,
12
+ "validation_person_f1": 0.7768115942028985,
13
+ "validation_product_f1": 0.32432432432432434,
14
+ "validation_runtime": 6.5668,
15
+ "validation_samples_per_second": 153.651,
16
+ "validation_steps_per_second": 9.746
17
+ }