Hugging Face's logo

makhataei
/
qa-persian-mdeberta-v3-base-squad2

Question Answering
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Model card Files Metrics Community
makhataei commited on
Commit
9c52c98
路
verified 路
1 Parent(s): c73a303

End of training

Browse files
Files changed (4) hide show
  1. README.md +99 -99
  2. model.safetensors +1 -1
  3. runs/Mar05_06-55-40_Software-AI/events.out.tfevents.1709609141.Software-AI.1931944.11 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
- - learning_rate: 9.765625e-07
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
@@ -46,106 +46,106 @@ The following hyperparameters were used during training:
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
- | 4.8689 | 1.0 | 17 | 5.1273 |
50
- | 4.9368 | 2.0 | 34 | 5.1273 |
51
- | 4.9166 | 3.0 | 51 | 5.1273 |
52
- | 4.8885 | 4.0 | 68 | 5.1273 |
53
- | 4.9689 | 5.0 | 85 | 5.1273 |
54
- | 4.8997 | 6.0 | 102 | 5.1273 |
55
  | 4.8345 | 7.0 | 119 | 5.1273 |
56
- | 4.8383 | 8.0 | 136 | 5.1273 |
57
- | 4.8843 | 9.0 | 153 | 5.1273 |
58
- | 4.8999 | 10.0 | 170 | 5.1273 |
59
- | 4.9164 | 11.0 | 187 | 5.1273 |
60
- | 4.92 | 12.0 | 204 | 5.1273 |
61
- | 4.8563 | 13.0 | 221 | 5.1273 |
62
- | 4.8846 | 14.0 | 238 | 5.1273 |
63
- | 4.8488 | 15.0 | 255 | 5.1273 |
64
- | 4.8778 | 16.0 | 272 | 5.1273 |
65
- | 4.8569 | 17.0 | 289 | 5.1273 |
66
- | 4.8974 | 18.0 | 306 | 5.1273 |
67
- | 4.8478 | 19.0 | 323 | 5.1273 |
68
- | 4.8958 | 20.0 | 340 | 5.1273 |
69
- | 4.8605 | 21.0 | 357 | 5.1273 |
70
- | 4.9114 | 22.0 | 374 | 5.1273 |
71
- | 4.8952 | 23.0 | 391 | 5.1273 |
72
- | 4.8177 | 24.0 | 408 | 5.1273 |
73
- | 4.9518 | 25.0 | 425 | 5.1273 |
74
- | 4.9153 | 26.0 | 442 | 5.1273 |
75
- | 4.8598 | 27.0 | 459 | 5.1273 |
76
- | 4.8343 | 28.0 | 476 | 5.1273 |
77
- | 4.8547 | 29.0 | 493 | 5.1273 |
78
- | 4.8679 | 30.0 | 510 | 5.1273 |
79
- | 4.9506 | 31.0 | 527 | 5.1273 |
80
- | 4.9765 | 32.0 | 544 | 5.1273 |
81
- | 4.9212 | 33.0 | 561 | 5.1273 |
82
- | 4.9684 | 34.0 | 578 | 5.1273 |
83
- | 4.9089 | 35.0 | 595 | 5.1273 |
84
- | 4.8993 | 36.0 | 612 | 5.1273 |
85
- | 4.9324 | 37.0 | 629 | 5.1273 |
86
- | 4.9765 | 38.0 | 646 | 5.1273 |
87
- | 4.9309 | 39.0 | 663 | 5.1273 |
88
- | 4.954 | 40.0 | 680 | 5.1273 |
89
- | 4.9606 | 41.0 | 697 | 5.1273 |
90
- | 4.8993 | 42.0 | 714 | 5.1273 |
91
- | 5.0069 | 43.0 | 731 | 5.1273 |
92
- | 5.0218 | 44.0 | 748 | 5.1273 |
93
- | 4.9972 | 45.0 | 765 | 5.1273 |
94
- | 4.9483 | 46.0 | 782 | 5.1273 |
95
- | 4.9758 | 47.0 | 799 | 5.1273 |
96
- | 4.9769 | 48.0 | 816 | 5.1273 |
97
- | 4.9702 | 49.0 | 833 | 5.1273 |
98
- | 4.9649 | 50.0 | 850 | 5.1273 |
99
- | 4.9687 | 51.0 | 867 | 5.1273 |
100
- | 4.98 | 52.0 | 884 | 5.1273 |
101
- | 5.029 | 53.0 | 901 | 5.1273 |
102
- | 5.0188 | 54.0 | 918 | 5.1273 |
103
- | 4.9859 | 55.0 | 935 | 5.1273 |
104
- | 4.9876 | 56.0 | 952 | 5.1273 |
105
- | 5.0157 | 57.0 | 969 | 5.1273 |
106
- | 5.0624 | 58.0 | 986 | 5.1273 |
107
- | 4.9821 | 59.0 | 1003 | 5.1273 |
108
- | 5.0583 | 60.0 | 1020 | 5.1273 |
109
- | 5.0247 | 61.0 | 1037 | 5.1273 |
110
- | 4.964 | 62.0 | 1054 | 5.1273 |
111
- | 5.0513 | 63.0 | 1071 | 5.1273 |
112
- | 4.9671 | 64.0 | 1088 | 5.1273 |
113
- | 5.0649 | 65.0 | 1105 | 5.1273 |
114
- | 5.0629 | 66.0 | 1122 | 5.1273 |
115
- | 5.0474 | 67.0 | 1139 | 5.1273 |
116
- | 5.0087 | 68.0 | 1156 | 5.1273 |
117
- | 4.9898 | 69.0 | 1173 | 5.1273 |
118
- | 5.0558 | 70.0 | 1190 | 5.1273 |
119
- | 5.1114 | 71.0 | 1207 | 5.1273 |
120
- | 5.022 | 72.0 | 1224 | 5.1273 |
121
- | 5.0407 | 73.0 | 1241 | 5.1273 |
122
- | 5.034 | 74.0 | 1258 | 5.1273 |
123
- | 5.0468 | 75.0 | 1275 | 5.1273 |
124
- | 5.0772 | 76.0 | 1292 | 5.1273 |
125
- | 5.0073 | 77.0 | 1309 | 5.1273 |
126
- | 5.0312 | 78.0 | 1326 | 5.1273 |
127
- | 5.0367 | 79.0 | 1343 | 5.1273 |
128
- | 5.1052 | 80.0 | 1360 | 5.1273 |
129
- | 5.0229 | 81.0 | 1377 | 5.1273 |
130
- | 5.0423 | 82.0 | 1394 | 5.1273 |
131
- | 4.9963 | 83.0 | 1411 | 5.1273 |
132
- | 5.0455 | 84.0 | 1428 | 5.1273 |
133
- | 5.0399 | 85.0 | 1445 | 5.1273 |
134
- | 5.0601 | 86.0 | 1462 | 5.1273 |
135
- | 5.1148 | 87.0 | 1479 | 5.1273 |
136
- | 5.0129 | 88.0 | 1496 | 5.1273 |
137
- | 5.0917 | 89.0 | 1513 | 5.1273 |
138
- | 5.0681 | 90.0 | 1530 | 5.1273 |
139
  | 5.0963 | 91.0 | 1547 | 5.1273 |
140
- | 5.0832 | 92.0 | 1564 | 5.1273 |
141
- | 5.0921 | 93.0 | 1581 | 5.1273 |
142
- | 5.026 | 94.0 | 1598 | 5.1273 |
143
- | 5.0924 | 95.0 | 1615 | 5.1273 |
144
- | 5.1321 | 96.0 | 1632 | 5.1273 |
145
- | 5.1117 | 97.0 | 1649 | 5.1273 |
146
- | 5.024 | 98.0 | 1666 | 5.1273 |
147
- | 5.0906 | 99.0 | 1683 | 5.1273 |
148
- | 5.1104 | 100.0 | 1700 | 5.1273 |
149
 
150
 
151
  ### Framework versions
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 4.8828125e-07
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 4.8647 | 1.0 | 17 | 5.1273 |
50
+ | 4.9352 | 2.0 | 34 | 5.1273 |
51
+ | 4.9137 | 3.0 | 51 | 5.1273 |
52
+ | 4.886 | 4.0 | 68 | 5.1273 |
53
+ | 4.9675 | 5.0 | 85 | 5.1273 |
54
+ | 4.8986 | 6.0 | 102 | 5.1273 |
55
  | 4.8345 | 7.0 | 119 | 5.1273 |
56
+ | 4.8372 | 8.0 | 136 | 5.1273 |
57
+ | 4.8834 | 9.0 | 153 | 5.1273 |
58
+ | 4.9005 | 10.0 | 170 | 5.1273 |
59
+ | 4.9172 | 11.0 | 187 | 5.1273 |
60
+ | 4.9192 | 12.0 | 204 | 5.1273 |
61
+ | 4.8565 | 13.0 | 221 | 5.1273 |
62
+ | 4.885 | 14.0 | 238 | 5.1273 |
63
+ | 4.8498 | 15.0 | 255 | 5.1273 |
64
+ | 4.8767 | 16.0 | 272 | 5.1273 |
65
+ | 4.8566 | 17.0 | 289 | 5.1273 |
66
+ | 4.8993 | 18.0 | 306 | 5.1273 |
67
+ | 4.846 | 19.0 | 323 | 5.1273 |
68
+ | 4.8978 | 20.0 | 340 | 5.1273 |
69
+ | 4.8621 | 21.0 | 357 | 5.1273 |
70
+ | 4.9099 | 22.0 | 374 | 5.1273 |
71
+ | 4.8954 | 23.0 | 391 | 5.1273 |
72
+ | 4.8155 | 24.0 | 408 | 5.1273 |
73
+ | 4.9512 | 25.0 | 425 | 5.1273 |
74
+ | 4.9155 | 26.0 | 442 | 5.1273 |
75
+ | 4.8586 | 27.0 | 459 | 5.1273 |
76
+ | 4.833 | 28.0 | 476 | 5.1273 |
77
+ | 4.8535 | 29.0 | 493 | 5.1273 |
78
+ | 4.8661 | 30.0 | 510 | 5.1273 |
79
+ | 4.9492 | 31.0 | 527 | 5.1273 |
80
+ | 4.9758 | 32.0 | 544 | 5.1273 |
81
+ | 4.92 | 33.0 | 561 | 5.1273 |
82
+ | 4.9666 | 34.0 | 578 | 5.1273 |
83
+ | 4.9078 | 35.0 | 595 | 5.1273 |
84
+ | 4.8979 | 36.0 | 612 | 5.1273 |
85
+ | 4.9307 | 37.0 | 629 | 5.1273 |
86
+ | 4.9736 | 38.0 | 646 | 5.1273 |
87
+ | 4.929 | 39.0 | 663 | 5.1273 |
88
+ | 4.9526 | 40.0 | 680 | 5.1273 |
89
+ | 4.9584 | 41.0 | 697 | 5.1273 |
90
+ | 4.8952 | 42.0 | 714 | 5.1273 |
91
+ | 5.0033 | 43.0 | 731 | 5.1273 |
92
+ | 5.0192 | 44.0 | 748 | 5.1273 |
93
+ | 4.9944 | 45.0 | 765 | 5.1273 |
94
+ | 4.9461 | 46.0 | 782 | 5.1273 |
95
+ | 4.9735 | 47.0 | 799 | 5.1273 |
96
+ | 4.9744 | 48.0 | 816 | 5.1273 |
97
+ | 4.9681 | 49.0 | 833 | 5.1273 |
98
+ | 4.9633 | 50.0 | 850 | 5.1273 |
99
+ | 4.9672 | 51.0 | 867 | 5.1273 |
100
+ | 4.9775 | 52.0 | 884 | 5.1273 |
101
+ | 5.0279 | 53.0 | 901 | 5.1273 |
102
+ | 5.0184 | 54.0 | 918 | 5.1273 |
103
+ | 4.9849 | 55.0 | 935 | 5.1273 |
104
+ | 4.9861 | 56.0 | 952 | 5.1273 |
105
+ | 5.0153 | 57.0 | 969 | 5.1273 |
106
+ | 5.0608 | 58.0 | 986 | 5.1273 |
107
+ | 4.9803 | 59.0 | 1003 | 5.1273 |
108
+ | 5.0572 | 60.0 | 1020 | 5.1273 |
109
+ | 5.024 | 61.0 | 1037 | 5.1273 |
110
+ | 4.9638 | 62.0 | 1054 | 5.1273 |
111
+ | 5.0495 | 63.0 | 1071 | 5.1273 |
112
+ | 4.9663 | 64.0 | 1088 | 5.1273 |
113
+ | 5.0638 | 65.0 | 1105 | 5.1273 |
114
+ | 5.0652 | 66.0 | 1122 | 5.1273 |
115
+ | 5.0446 | 67.0 | 1139 | 5.1273 |
116
+ | 5.0073 | 68.0 | 1156 | 5.1273 |
117
+ | 4.9892 | 69.0 | 1173 | 5.1273 |
118
+ | 5.0543 | 70.0 | 1190 | 5.1273 |
119
+ | 5.1093 | 71.0 | 1207 | 5.1273 |
120
+ | 5.0188 | 72.0 | 1224 | 5.1273 |
121
+ | 5.0394 | 73.0 | 1241 | 5.1273 |
122
+ | 5.033 | 74.0 | 1258 | 5.1273 |
123
+ | 5.0459 | 75.0 | 1275 | 5.1273 |
124
+ | 5.0752 | 76.0 | 1292 | 5.1273 |
125
+ | 5.0065 | 77.0 | 1309 | 5.1273 |
126
+ | 5.029 | 78.0 | 1326 | 5.1273 |
127
+ | 5.0373 | 79.0 | 1343 | 5.1273 |
128
+ | 5.1046 | 80.0 | 1360 | 5.1273 |
129
+ | 5.0219 | 81.0 | 1377 | 5.1273 |
130
+ | 5.0428 | 82.0 | 1394 | 5.1273 |
131
+ | 4.9941 | 83.0 | 1411 | 5.1273 |
132
+ | 5.0461 | 84.0 | 1428 | 5.1273 |
133
+ | 5.0406 | 85.0 | 1445 | 5.1273 |
134
+ | 5.0597 | 86.0 | 1462 | 5.1273 |
135
+ | 5.1136 | 87.0 | 1479 | 5.1273 |
136
+ | 5.0128 | 88.0 | 1496 | 5.1273 |
137
+ | 5.0921 | 89.0 | 1513 | 5.1273 |
138
+ | 5.0683 | 90.0 | 1530 | 5.1273 |
139
  | 5.0963 | 91.0 | 1547 | 5.1273 |
140
+ | 5.0837 | 92.0 | 1564 | 5.1273 |
141
+ | 5.0952 | 93.0 | 1581 | 5.1273 |
142
+ | 5.0254 | 94.0 | 1598 | 5.1273 |
143
+ | 5.0914 | 95.0 | 1615 | 5.1273 |
144
+ | 5.1338 | 96.0 | 1632 | 5.1273 |
145
+ | 5.1111 | 97.0 | 1649 | 5.1273 |
146
+ | 5.0239 | 98.0 | 1666 | 5.1273 |
147
+ | 5.0909 | 99.0 | 1683 | 5.1273 |
148
+ | 5.1094 | 100.0 | 1700 | 5.1273 |
149
 
150
 
151
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d4a26c0060468d316cab718832dc4efced05be08c717d9f7723caea8f762b38f
3
  size 1112905680
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f69c0f7269642c0c944a30314b2e0673809c831303f39cd12b88a496911de08c
3
  size 1112905680
runs/Mar05_06-55-40_Software-AI/events.out.tfevents.1709609141.Software-AI.1931944.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:198ed86a8689cf814cdf0af15d4839f89e114a6f6bd596d849d1094041ba479f
3
+ size 52300
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:13a0bab2157d5a93b62eae6e88d128fe771a23a5661d609d16e84eb2ea159bb6
3
  size 4219
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6910b558d1275a83078e01be84bf886d258d29d6787123c515d4daad50757e66
3
  size 4219