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makhataei
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qa-persian-bert-fa-base-uncased

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Safetensors
bert
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50a7cec
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End of training

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Files changed (4) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. runs/Mar06_15-55-11_Software-AI/events.out.tfevents.1709727912.Software-AI.118212.19 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.5e-08
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
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  | 5.6477 | 4.0 | 36 | 5.3355 |
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  | 5.7219 | 5.0 | 45 | 5.3355 |
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  | 5.6463 | 6.0 | 54 | 5.3355 |
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- | 5.5939 | 7.0 | 63 | 5.3355 |
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  | 5.577 | 8.0 | 72 | 5.3355 |
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  | 5.5841 | 9.0 | 81 | 5.3355 |
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  | 5.5863 | 10.0 | 90 | 5.3355 |
@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
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  | 5.6692 | 13.0 | 117 | 5.3355 |
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  | 5.7031 | 14.0 | 126 | 5.3355 |
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  | 5.6996 | 15.0 | 135 | 5.3355 |
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- | 5.6725 | 16.0 | 144 | 5.3355 |
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  | 5.738 | 17.0 | 153 | 5.3355 |
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  | 5.6687 | 18.0 | 162 | 5.3355 |
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- | 5.7008 | 19.0 | 171 | 5.3355 |
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  | 5.6232 | 20.0 | 180 | 5.3355 |
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- | 5.6515 | 21.0 | 189 | 5.3355 |
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- | 5.6814 | 22.0 | 198 | 5.3355 |
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- | 5.6306 | 23.0 | 207 | 5.3355 |
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  | 5.7509 | 24.0 | 216 | 5.3355 |
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  | 5.6747 | 25.0 | 225 | 5.3355 |
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  | 5.6642 | 26.0 | 234 | 5.3355 |
@@ -85,8 +85,8 @@ The following hyperparameters were used during training:
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  | 5.694 | 37.0 | 333 | 5.3355 |
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  | 5.6058 | 38.0 | 342 | 5.3355 |
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  | 5.5774 | 39.0 | 351 | 5.3355 |
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- | 5.5988 | 40.0 | 360 | 5.3355 |
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- | 5.6705 | 41.0 | 369 | 5.3355 |
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  | 5.644 | 42.0 | 378 | 5.3355 |
91
  | 5.6432 | 43.0 | 387 | 5.3355 |
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  | 5.6055 | 44.0 | 396 | 5.3355 |
@@ -96,8 +96,8 @@ The following hyperparameters were used during training:
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  | 5.6566 | 48.0 | 432 | 5.3355 |
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  | 5.6381 | 49.0 | 441 | 5.3355 |
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  | 5.7056 | 50.0 | 450 | 5.3355 |
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- | 5.6694 | 51.0 | 459 | 5.3355 |
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- | 5.6052 | 52.0 | 468 | 5.3355 |
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  | 5.6551 | 53.0 | 477 | 5.3355 |
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  | 5.5851 | 54.0 | 486 | 5.3355 |
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  | 5.6209 | 55.0 | 495 | 5.3355 |
@@ -106,15 +106,15 @@ The following hyperparameters were used during training:
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  | 5.589 | 58.0 | 522 | 5.3355 |
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  | 5.6143 | 59.0 | 531 | 5.3355 |
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  | 5.6736 | 60.0 | 540 | 5.3355 |
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- | 5.6741 | 61.0 | 549 | 5.3355 |
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- | 5.6886 | 62.0 | 558 | 5.3355 |
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  | 5.677 | 63.0 | 567 | 5.3355 |
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  | 5.6157 | 64.0 | 576 | 5.3355 |
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- | 5.6182 | 65.0 | 585 | 5.3355 |
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  | 5.678 | 66.0 | 594 | 5.3355 |
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  | 5.6859 | 67.0 | 603 | 5.3355 |
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  | 5.6751 | 68.0 | 612 | 5.3355 |
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- | 5.5912 | 69.0 | 621 | 5.3355 |
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  | 5.66 | 70.0 | 630 | 5.3355 |
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  | 5.7322 | 71.0 | 639 | 5.3355 |
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  | 5.6169 | 72.0 | 648 | 5.3355 |
@@ -122,7 +122,7 @@ The following hyperparameters were used during training:
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  | 5.6933 | 74.0 | 666 | 5.3355 |
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  | 5.5852 | 75.0 | 675 | 5.3355 |
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  | 5.5871 | 76.0 | 684 | 5.3355 |
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- | 5.6517 | 77.0 | 693 | 5.3355 |
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  | 5.6022 | 78.0 | 702 | 5.3355 |
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  | 5.6427 | 79.0 | 711 | 5.3355 |
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  | 5.639 | 80.0 | 720 | 5.3355 |
@@ -131,12 +131,12 @@ The following hyperparameters were used during training:
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  | 5.6081 | 83.0 | 747 | 5.3355 |
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  | 5.6185 | 84.0 | 756 | 5.3355 |
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  | 5.638 | 85.0 | 765 | 5.3355 |
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- | 5.6207 | 86.0 | 774 | 5.3355 |
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- | 5.7411 | 87.0 | 783 | 5.3355 |
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  | 5.704 | 88.0 | 792 | 5.3355 |
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  | 5.6389 | 89.0 | 801 | 5.3355 |
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  | 5.6339 | 90.0 | 810 | 5.3355 |
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- | 5.6447 | 91.0 | 819 | 5.3355 |
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  | 5.6303 | 92.0 | 828 | 5.3355 |
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  | 5.6814 | 93.0 | 837 | 5.3355 |
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  | 5.6435 | 94.0 | 846 | 5.3355 |
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 1.25e-08
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
52
  | 5.6477 | 4.0 | 36 | 5.3355 |
53
  | 5.7219 | 5.0 | 45 | 5.3355 |
54
  | 5.6463 | 6.0 | 54 | 5.3355 |
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+ | 5.5946 | 7.0 | 63 | 5.3355 |
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  | 5.577 | 8.0 | 72 | 5.3355 |
57
  | 5.5841 | 9.0 | 81 | 5.3355 |
58
  | 5.5863 | 10.0 | 90 | 5.3355 |
 
61
  | 5.6692 | 13.0 | 117 | 5.3355 |
62
  | 5.7031 | 14.0 | 126 | 5.3355 |
63
  | 5.6996 | 15.0 | 135 | 5.3355 |
64
+ | 5.6724 | 16.0 | 144 | 5.3355 |
65
  | 5.738 | 17.0 | 153 | 5.3355 |
66
  | 5.6687 | 18.0 | 162 | 5.3355 |
67
+ | 5.7009 | 19.0 | 171 | 5.3355 |
68
  | 5.6232 | 20.0 | 180 | 5.3355 |
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+ | 5.6514 | 21.0 | 189 | 5.3355 |
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+ | 5.6815 | 22.0 | 198 | 5.3355 |
71
+ | 5.6305 | 23.0 | 207 | 5.3355 |
72
  | 5.7509 | 24.0 | 216 | 5.3355 |
73
  | 5.6747 | 25.0 | 225 | 5.3355 |
74
  | 5.6642 | 26.0 | 234 | 5.3355 |
 
85
  | 5.694 | 37.0 | 333 | 5.3355 |
86
  | 5.6058 | 38.0 | 342 | 5.3355 |
87
  | 5.5774 | 39.0 | 351 | 5.3355 |
88
+ | 5.5987 | 40.0 | 360 | 5.3355 |
89
+ | 5.6706 | 41.0 | 369 | 5.3355 |
90
  | 5.644 | 42.0 | 378 | 5.3355 |
91
  | 5.6432 | 43.0 | 387 | 5.3355 |
92
  | 5.6055 | 44.0 | 396 | 5.3355 |
 
96
  | 5.6566 | 48.0 | 432 | 5.3355 |
97
  | 5.6381 | 49.0 | 441 | 5.3355 |
98
  | 5.7056 | 50.0 | 450 | 5.3355 |
99
+ | 5.6693 | 51.0 | 459 | 5.3355 |
100
+ | 5.6051 | 52.0 | 468 | 5.3355 |
101
  | 5.6551 | 53.0 | 477 | 5.3355 |
102
  | 5.5851 | 54.0 | 486 | 5.3355 |
103
  | 5.6209 | 55.0 | 495 | 5.3355 |
 
106
  | 5.589 | 58.0 | 522 | 5.3355 |
107
  | 5.6143 | 59.0 | 531 | 5.3355 |
108
  | 5.6736 | 60.0 | 540 | 5.3355 |
109
+ | 5.6754 | 61.0 | 549 | 5.3355 |
110
+ | 5.6884 | 62.0 | 558 | 5.3355 |
111
  | 5.677 | 63.0 | 567 | 5.3355 |
112
  | 5.6157 | 64.0 | 576 | 5.3355 |
113
+ | 5.618 | 65.0 | 585 | 5.3355 |
114
  | 5.678 | 66.0 | 594 | 5.3355 |
115
  | 5.6859 | 67.0 | 603 | 5.3355 |
116
  | 5.6751 | 68.0 | 612 | 5.3355 |
117
+ | 5.5911 | 69.0 | 621 | 5.3355 |
118
  | 5.66 | 70.0 | 630 | 5.3355 |
119
  | 5.7322 | 71.0 | 639 | 5.3355 |
120
  | 5.6169 | 72.0 | 648 | 5.3355 |
 
122
  | 5.6933 | 74.0 | 666 | 5.3355 |
123
  | 5.5852 | 75.0 | 675 | 5.3355 |
124
  | 5.5871 | 76.0 | 684 | 5.3355 |
125
+ | 5.6518 | 77.0 | 693 | 5.3355 |
126
  | 5.6022 | 78.0 | 702 | 5.3355 |
127
  | 5.6427 | 79.0 | 711 | 5.3355 |
128
  | 5.639 | 80.0 | 720 | 5.3355 |
 
131
  | 5.6081 | 83.0 | 747 | 5.3355 |
132
  | 5.6185 | 84.0 | 756 | 5.3355 |
133
  | 5.638 | 85.0 | 765 | 5.3355 |
134
+ | 5.6206 | 86.0 | 774 | 5.3355 |
135
+ | 5.7414 | 87.0 | 783 | 5.3355 |
136
  | 5.704 | 88.0 | 792 | 5.3355 |
137
  | 5.6389 | 89.0 | 801 | 5.3355 |
138
  | 5.6339 | 90.0 | 810 | 5.3355 |
139
+ | 5.6446 | 91.0 | 819 | 5.3355 |
140
  | 5.6303 | 92.0 | 828 | 5.3355 |
141
  | 5.6814 | 93.0 | 837 | 5.3355 |
142
  | 5.6435 | 94.0 | 846 | 5.3355 |
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