apwic commited on
Commit
fbc67b1
1 Parent(s): 2370418

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  license: mit
3
  base_model: indolem/indobert-base-uncased
4
  tags:
 
1
  ---
2
+ language:
3
+ - id
4
  license: mit
5
  base_model: indolem/indobert-base-uncased
6
  tags:
all_results.json CHANGED
@@ -1,73 +1,65 @@
1
  {
2
  "epoch": 100.0,
3
- "eval_LOCATION_f1": 0.8266666666666667,
4
  "eval_LOCATION_number": 72,
5
- "eval_LOCATION_precision": 0.7948717948717948,
6
- "eval_LOCATION_recall": 0.8611111111111112,
7
- "eval_ORGANIZATION_f1": 0.8101265822784811,
8
  "eval_ORGANIZATION_number": 75,
9
- "eval_ORGANIZATION_precision": 0.7710843373493976,
10
- "eval_ORGANIZATION_recall": 0.8533333333333334,
11
- "eval_PERSON_f1": 0.9084745762711864,
12
  "eval_PERSON_number": 143,
13
- "eval_PERSON_precision": 0.881578947368421,
14
- "eval_PERSON_recall": 0.9370629370629371,
15
- "eval_QUANTITY_f1": 0.72,
16
  "eval_QUANTITY_number": 23,
17
- "eval_QUANTITY_precision": 0.6666666666666666,
18
- "eval_QUANTITY_recall": 0.782608695652174,
19
- "eval_TIME_f1": 0.8518518518518519,
20
  "eval_TIME_number": 26,
21
- "eval_TIME_precision": 0.8214285714285714,
22
  "eval_TIME_recall": 0.8846153846153846,
23
- "eval_accuracy": 0.9604703527645734,
24
- "eval_f1": 0.8384401114206128,
25
- "eval_loss": 0.3857269287109375,
26
- "eval_overall_accuracy": 0.9642231673755316,
27
- "eval_overall_f1": 0.8514851485148515,
28
- "eval_overall_precision": 0.8179347826086957,
29
- "eval_overall_recall": 0.887905604719764,
30
- "eval_precision": 0.7941952506596306,
31
- "eval_recall": 0.887905604719764,
32
- "eval_runtime": 0.8951,
33
  "eval_samples": 187,
34
- "eval_samples_per_second": 208.905,
35
- "eval_steps_per_second": 3.351,
36
- "predict_LOCATION_f1": 0.9832134292565946,
37
  "predict_LOCATION_number": 207,
38
- "predict_LOCATION_precision": 0.9761904761904762,
39
- "predict_LOCATION_recall": 0.9903381642512077,
40
- "predict_ORGANIZATION_f1": 0.9825581395348837,
41
  "predict_ORGANIZATION_number": 172,
42
- "predict_ORGANIZATION_precision": 0.9825581395348837,
43
- "predict_ORGANIZATION_recall": 0.9825581395348837,
44
- "predict_PERSON_f1": 0.9982788296041308,
45
  "predict_PERSON_number": 290,
46
- "predict_PERSON_precision": 0.9965635738831615,
47
- "predict_PERSON_recall": 1.0,
48
  "predict_QUANTITY_f1": 0.99,
49
  "predict_QUANTITY_number": 100,
50
  "predict_QUANTITY_precision": 0.99,
51
  "predict_QUANTITY_recall": 0.99,
52
- "predict_TIME_f1": 0.9818181818181818,
53
  "predict_TIME_number": 82,
54
- "predict_TIME_precision": 0.9759036144578314,
55
  "predict_TIME_recall": 0.9878048780487805,
56
- "predict_accuracy": 0.997259737717753,
57
- "predict_f1": 0.9865260691271236,
58
- "predict_loss": 0.02522200718522072,
59
- "predict_overall_accuracy": 0.9977490702681543,
60
- "predict_overall_f1": 0.9888693614528413,
61
- "predict_overall_precision": 0.985981308411215,
62
- "predict_overall_recall": 0.9917743830787309,
63
- "predict_precision": 0.9836448598130841,
64
- "predict_recall": 0.9894242068155111,
65
- "predict_runtime": 1.8841,
66
- "predict_samples_per_second": 248.927,
67
- "predict_steps_per_second": 4.246,
68
- "train_loss": 0.008494841067761815,
69
- "train_runtime": 2623.6324,
70
  "train_samples": 1687,
71
- "train_samples_per_second": 64.3,
72
- "train_steps_per_second": 4.04
73
  }
 
1
  {
2
  "epoch": 100.0,
3
+ "eval_LOCATION_f1": 0.8243243243243243,
4
  "eval_LOCATION_number": 72,
5
+ "eval_LOCATION_precision": 0.8026315789473685,
6
+ "eval_LOCATION_recall": 0.8472222222222222,
7
+ "eval_ORGANIZATION_f1": 0.8322981366459627,
8
  "eval_ORGANIZATION_number": 75,
9
+ "eval_ORGANIZATION_precision": 0.7790697674418605,
10
+ "eval_ORGANIZATION_recall": 0.8933333333333333,
11
+ "eval_PERSON_f1": 0.9194630872483223,
12
  "eval_PERSON_number": 143,
13
+ "eval_PERSON_precision": 0.8838709677419355,
14
+ "eval_PERSON_recall": 0.958041958041958,
15
+ "eval_QUANTITY_f1": 0.68,
16
  "eval_QUANTITY_number": 23,
17
+ "eval_QUANTITY_precision": 0.6296296296296297,
18
+ "eval_QUANTITY_recall": 0.7391304347826086,
19
+ "eval_TIME_f1": 0.8363636363636363,
20
  "eval_TIME_number": 26,
21
+ "eval_TIME_precision": 0.7931034482758621,
22
  "eval_TIME_recall": 0.8846153846153846,
23
+ "eval_loss": 0.40795865654945374,
24
+ "eval_overall_accuracy": 0.9614711033274956,
25
+ "eval_overall_f1": 0.8567415730337079,
26
+ "eval_overall_precision": 0.8176943699731903,
27
+ "eval_overall_recall": 0.8997050147492626,
28
+ "eval_runtime": 0.378,
 
 
 
 
29
  "eval_samples": 187,
30
+ "eval_samples_per_second": 494.701,
31
+ "eval_steps_per_second": 7.936,
32
+ "predict_LOCATION_f1": 0.9855072463768116,
33
  "predict_LOCATION_number": 207,
34
+ "predict_LOCATION_precision": 0.9855072463768116,
35
+ "predict_LOCATION_recall": 0.9855072463768116,
36
+ "predict_ORGANIZATION_f1": 0.9767441860465116,
37
  "predict_ORGANIZATION_number": 172,
38
+ "predict_ORGANIZATION_precision": 0.9767441860465116,
39
+ "predict_ORGANIZATION_recall": 0.9767441860465116,
40
+ "predict_PERSON_f1": 0.9931271477663229,
41
  "predict_PERSON_number": 290,
42
+ "predict_PERSON_precision": 0.9897260273972602,
43
+ "predict_PERSON_recall": 0.996551724137931,
44
  "predict_QUANTITY_f1": 0.99,
45
  "predict_QUANTITY_number": 100,
46
  "predict_QUANTITY_precision": 0.99,
47
  "predict_QUANTITY_recall": 0.99,
48
+ "predict_TIME_f1": 0.9759036144578312,
49
  "predict_TIME_number": 82,
50
+ "predict_TIME_precision": 0.9642857142857143,
51
  "predict_TIME_recall": 0.9878048780487805,
52
+ "predict_loss": 0.037839509546756744,
53
+ "predict_overall_accuracy": 0.9965746721471912,
54
+ "predict_overall_f1": 0.9859320046893318,
55
+ "predict_overall_precision": 0.9836257309941521,
56
+ "predict_overall_recall": 0.9882491186839013,
57
+ "predict_runtime": 0.8312,
58
+ "predict_samples_per_second": 564.224,
59
+ "predict_steps_per_second": 9.624,
60
+ "train_loss": 0.008934246277599155,
61
+ "train_runtime": 970.249,
 
 
 
 
62
  "train_samples": 1687,
63
+ "train_samples_per_second": 173.873,
64
+ "train_steps_per_second": 10.925
65
  }
eval_results.json CHANGED
@@ -1,32 +1,32 @@
1
  {
2
  "epoch": 100.0,
3
- "eval_LOCATION_f1": 0.8266666666666667,
4
  "eval_LOCATION_number": 72,
5
- "eval_LOCATION_precision": 0.7948717948717948,
6
- "eval_LOCATION_recall": 0.8611111111111112,
7
- "eval_ORGANIZATION_f1": 0.8101265822784811,
8
  "eval_ORGANIZATION_number": 75,
9
- "eval_ORGANIZATION_precision": 0.7710843373493976,
10
- "eval_ORGANIZATION_recall": 0.8533333333333334,
11
- "eval_PERSON_f1": 0.9084745762711864,
12
  "eval_PERSON_number": 143,
13
- "eval_PERSON_precision": 0.881578947368421,
14
- "eval_PERSON_recall": 0.9370629370629371,
15
- "eval_QUANTITY_f1": 0.72,
16
  "eval_QUANTITY_number": 23,
17
- "eval_QUANTITY_precision": 0.6666666666666666,
18
- "eval_QUANTITY_recall": 0.782608695652174,
19
- "eval_TIME_f1": 0.8518518518518519,
20
  "eval_TIME_number": 26,
21
- "eval_TIME_precision": 0.8214285714285714,
22
  "eval_TIME_recall": 0.8846153846153846,
23
- "eval_loss": 0.3857269287109375,
24
- "eval_overall_accuracy": 0.9642231673755316,
25
- "eval_overall_f1": 0.8514851485148515,
26
- "eval_overall_precision": 0.8179347826086957,
27
- "eval_overall_recall": 0.887905604719764,
28
- "eval_runtime": 0.8951,
29
  "eval_samples": 187,
30
- "eval_samples_per_second": 208.905,
31
- "eval_steps_per_second": 3.351
32
  }
 
1
  {
2
  "epoch": 100.0,
3
+ "eval_LOCATION_f1": 0.8243243243243243,
4
  "eval_LOCATION_number": 72,
5
+ "eval_LOCATION_precision": 0.8026315789473685,
6
+ "eval_LOCATION_recall": 0.8472222222222222,
7
+ "eval_ORGANIZATION_f1": 0.8322981366459627,
8
  "eval_ORGANIZATION_number": 75,
9
+ "eval_ORGANIZATION_precision": 0.7790697674418605,
10
+ "eval_ORGANIZATION_recall": 0.8933333333333333,
11
+ "eval_PERSON_f1": 0.9194630872483223,
12
  "eval_PERSON_number": 143,
13
+ "eval_PERSON_precision": 0.8838709677419355,
14
+ "eval_PERSON_recall": 0.958041958041958,
15
+ "eval_QUANTITY_f1": 0.68,
16
  "eval_QUANTITY_number": 23,
17
+ "eval_QUANTITY_precision": 0.6296296296296297,
18
+ "eval_QUANTITY_recall": 0.7391304347826086,
19
+ "eval_TIME_f1": 0.8363636363636363,
20
  "eval_TIME_number": 26,
21
+ "eval_TIME_precision": 0.7931034482758621,
22
  "eval_TIME_recall": 0.8846153846153846,
23
+ "eval_loss": 0.40795865654945374,
24
+ "eval_overall_accuracy": 0.9614711033274956,
25
+ "eval_overall_f1": 0.8567415730337079,
26
+ "eval_overall_precision": 0.8176943699731903,
27
+ "eval_overall_recall": 0.8997050147492626,
28
+ "eval_runtime": 0.378,
29
  "eval_samples": 187,
30
+ "eval_samples_per_second": 494.701,
31
+ "eval_steps_per_second": 7.936
32
  }
predict_results.json CHANGED
@@ -1,30 +1,30 @@
1
  {
2
- "predict_LOCATION_f1": 0.9832134292565946,
3
  "predict_LOCATION_number": 207,
4
- "predict_LOCATION_precision": 0.9761904761904762,
5
- "predict_LOCATION_recall": 0.9903381642512077,
6
- "predict_ORGANIZATION_f1": 0.9825581395348837,
7
  "predict_ORGANIZATION_number": 172,
8
- "predict_ORGANIZATION_precision": 0.9825581395348837,
9
- "predict_ORGANIZATION_recall": 0.9825581395348837,
10
- "predict_PERSON_f1": 0.9982788296041308,
11
  "predict_PERSON_number": 290,
12
- "predict_PERSON_precision": 0.9965635738831615,
13
- "predict_PERSON_recall": 1.0,
14
  "predict_QUANTITY_f1": 0.99,
15
  "predict_QUANTITY_number": 100,
16
  "predict_QUANTITY_precision": 0.99,
17
  "predict_QUANTITY_recall": 0.99,
18
- "predict_TIME_f1": 0.9818181818181818,
19
  "predict_TIME_number": 82,
20
- "predict_TIME_precision": 0.9759036144578314,
21
  "predict_TIME_recall": 0.9878048780487805,
22
- "predict_loss": 0.02522200718522072,
23
- "predict_overall_accuracy": 0.9977490702681543,
24
- "predict_overall_f1": 0.9888693614528413,
25
- "predict_overall_precision": 0.985981308411215,
26
- "predict_overall_recall": 0.9917743830787309,
27
- "predict_runtime": 1.8841,
28
- "predict_samples_per_second": 248.927,
29
- "predict_steps_per_second": 4.246
30
  }
 
1
  {
2
+ "predict_LOCATION_f1": 0.9855072463768116,
3
  "predict_LOCATION_number": 207,
4
+ "predict_LOCATION_precision": 0.9855072463768116,
5
+ "predict_LOCATION_recall": 0.9855072463768116,
6
+ "predict_ORGANIZATION_f1": 0.9767441860465116,
7
  "predict_ORGANIZATION_number": 172,
8
+ "predict_ORGANIZATION_precision": 0.9767441860465116,
9
+ "predict_ORGANIZATION_recall": 0.9767441860465116,
10
+ "predict_PERSON_f1": 0.9931271477663229,
11
  "predict_PERSON_number": 290,
12
+ "predict_PERSON_precision": 0.9897260273972602,
13
+ "predict_PERSON_recall": 0.996551724137931,
14
  "predict_QUANTITY_f1": 0.99,
15
  "predict_QUANTITY_number": 100,
16
  "predict_QUANTITY_precision": 0.99,
17
  "predict_QUANTITY_recall": 0.99,
18
+ "predict_TIME_f1": 0.9759036144578312,
19
  "predict_TIME_number": 82,
20
+ "predict_TIME_precision": 0.9642857142857143,
21
  "predict_TIME_recall": 0.9878048780487805,
22
+ "predict_loss": 0.037839509546756744,
23
+ "predict_overall_accuracy": 0.9965746721471912,
24
+ "predict_overall_f1": 0.9859320046893318,
25
+ "predict_overall_precision": 0.9836257309941521,
26
+ "predict_overall_recall": 0.9882491186839013,
27
+ "predict_runtime": 0.8312,
28
+ "predict_samples_per_second": 564.224,
29
+ "predict_steps_per_second": 9.624
30
  }
predictions.txt CHANGED
@@ -1,12 +1,12 @@
1
  O O O O B-ORGANIZATION O O O O O O O O O O B-ORGANIZATION O O O O O O O O O O O O
2
  O O B-TIME I-TIME I-TIME I-TIME O O O O O O O O
3
  O O O O O
4
- O O O O O O O O O O O O O O O O O B-PERSON O O O B-LOCATION O B-PERSON I-PERSON O O O O O O O O B-LOCATION O B-PERSON I-PERSON O O O O O B-LOCATION O B-LOCATION O O O O B-LOCATION O
5
- O B-PERSON O O O O O O B-PERSON O B-LOCATION I-LOCATION I-LOCATION I-LOCATION O O O O B-TIME I-TIME I-TIME I-TIME I-TIME O
6
  O O O O O O O O O O O O O B-PERSON I-PERSON O B-TIME O O O O O O O O B-PERSON O O O O O O O O B-PERSON O B-TIME O
7
- O O O O O O O O O O O O O O O O O O O O O O O O O O O O I-ORGANIZATION O O O O O O O B-ORGANIZATION I-ORGANIZATION B-PERSON I-PERSON O O B-TIME I-TIME I-TIME I-TIME O
8
  O O O O O O O O O O O B-LOCATION O O O B-PERSON O
9
- O O O B-ORGANIZATION I-ORGANIZATION B-PERSON I-PERSON O O O O O O O O O O O O O B-PERSON O
10
  O O O O O O O O O O O O O O O
11
  O O O O O O O B-PERSON O
12
  O O O O O O O O O O O B-LOCATION O O O O O O O O O O O O O
@@ -21,9 +21,9 @@ O O O O O O O O O O O O O B-TIME I-TIME O
21
  O O O O O O
22
  O B-PERSON I-PERSON O O O O O O O O O O O O O O O O O O
23
  O O O O O O O O O O O B-QUANTITY I-QUANTITY O O O O
24
- B-PERSON O O O O O O O O I-LOCATION O O O O O
25
  O O O O O O O O O O O O O O O O O O B-PERSON I-PERSON O
26
- O O O O O O O O O O O O O O O O O O B-PERSON I-PERSON O O
27
  O O O O O O O O O O O O B-PERSON I-PERSON O
28
  B-ORGANIZATION O O O O O O O O B-PERSON I-PERSON O
29
  O O O O O O O O O
@@ -43,7 +43,7 @@ O B-PERSON I-PERSON I-PERSON I-PERSON I-PERSON I-PERSON O O O O O O O O O O
43
  O O O B-ORGANIZATION I-ORGANIZATION O O O O O O O B-PERSON O
44
  O O B-QUANTITY I-QUANTITY O O O O O O O O B-LOCATION O O B-LOCATION O O O O O O O O O B-TIME O
45
  O O O O O O O O O O
46
- O O O O O O O O B-PERSON I-PERSON O O O B-PERSON O
47
  O O B-LOCATION I-LOCATION O O O B-LOCATION O O O O O O O
48
  B-ORGANIZATION I-ORGANIZATION I-ORGANIZATION I-ORGANIZATION I-ORGANIZATION O O O O O O O O O O O O O B-LOCATION I-LOCATION O B-LOCATION O B-LOCATION O O O O O
49
  O O O B-PERSON O O O O O O
 
1
  O O O O B-ORGANIZATION O O O O O O O O O O B-ORGANIZATION O O O O O O O O O O O O
2
  O O B-TIME I-TIME I-TIME I-TIME O O O O O O O O
3
  O O O O O
4
+ O O O O O O O O O O O O O O O O O B-PERSON O O O O O B-PERSON I-PERSON O O O O O O O O O O B-PERSON I-PERSON O O O O O B-LOCATION O B-LOCATION O O O O B-LOCATION O
5
+ O B-PERSON O O O O O O B-PERSON O B-LOCATION I-LOCATION I-LOCATION I-LOCATION O B-TIME I-TIME I-TIME B-TIME I-TIME I-TIME I-TIME I-TIME O
6
  O O O O O O O O O O O O O B-PERSON I-PERSON O B-TIME O O O O O O O O B-PERSON O O O O O O O O B-PERSON O B-TIME O
7
+ O O O O O O O O O O O O O O O O O O O O O O O O O O O B-ORGANIZATION I-ORGANIZATION I-ORGANIZATION O O O O O O O I-ORGANIZATION B-PERSON I-PERSON O O B-TIME I-TIME I-TIME I-TIME O
8
  O O O O O O O O O O O B-LOCATION O O O B-PERSON O
9
+ O O O B-ORGANIZATION I-ORGANIZATION I-PERSON I-PERSON O O O O O O O O O O O O O B-PERSON O
10
  O O O O O O O O O O O O O O O
11
  O O O O O O O B-PERSON O
12
  O O O O O O O O O O O B-LOCATION O O O O O O O O O O O O O
 
21
  O O O O O O
22
  O B-PERSON I-PERSON O O O O O O O O O O O O O O O O O O
23
  O O O O O O O O O O O B-QUANTITY I-QUANTITY O O O O
24
+ B-PERSON O O O O O O O O O O O O O O
25
  O O O O O O O O O O O O O O O O O O B-PERSON I-PERSON O
26
+ O O O O O O O O O O O O O O O O O B-PERSON I-PERSON I-PERSON O O
27
  O O O O O O O O O O O O B-PERSON I-PERSON O
28
  B-ORGANIZATION O O O O O O O O B-PERSON I-PERSON O
29
  O O O O O O O O O
 
43
  O O O B-ORGANIZATION I-ORGANIZATION O O O O O O O B-PERSON O
44
  O O B-QUANTITY I-QUANTITY O O O O O O O O B-LOCATION O O B-LOCATION O O O O O O O O O B-TIME O
45
  O O O O O O O O O O
46
+ O O O O B-PERSON I-PERSON I-PERSON O B-PERSON I-PERSON O O O B-PERSON O
47
  O O B-LOCATION I-LOCATION O O O B-LOCATION O O O O O O O
48
  B-ORGANIZATION I-ORGANIZATION I-ORGANIZATION I-ORGANIZATION I-ORGANIZATION O O O O O O O O O O O O O B-LOCATION I-LOCATION O B-LOCATION O B-LOCATION O O O O O
49
  O O O B-PERSON O O O O O O
runs/Jun03_17-19-26_a358b85c7679/events.out.tfevents.1717436168.a358b85c7679.227783.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:592660f845c84fc527d4814148c418d0509e6945d8c07becc3e424bea3ea3af3
3
+ size 1759
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 100.0,
3
- "train_loss": 0.008494841067761815,
4
- "train_runtime": 2623.6324,
5
  "train_samples": 1687,
6
- "train_samples_per_second": 64.3,
7
- "train_steps_per_second": 4.04
8
  }
 
1
  {
2
  "epoch": 100.0,
3
+ "train_loss": 0.008934246277599155,
4
+ "train_runtime": 970.249,
5
  "train_samples": 1687,
6
+ "train_samples_per_second": 173.873,
7
+ "train_steps_per_second": 10.925
8
  }
trainer_state.json CHANGED
The diff for this file is too large to render. See raw diff