yuanzheng625 commited on
Commit
9d37ff0
1 Parent(s): d189479

End of training

Browse files
README.md ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-sa-4.0
3
+ base_model: microsoft/layoutlmv2-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: layoutlmv2-base-uncased_finetuned_docvqa
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # layoutlmv2-base-uncased_finetuned_docvqa
15
+
16
+ This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 5.2024
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 5e-05
38
+ - train_batch_size: 4
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 20
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | 5.2725 | 0.22 | 50 | 4.6295 |
50
+ | 4.532 | 0.44 | 100 | 4.2254 |
51
+ | 4.0834 | 0.66 | 150 | 3.8568 |
52
+ | 3.9787 | 0.88 | 200 | 3.6523 |
53
+ | 3.6224 | 1.11 | 250 | 3.8143 |
54
+ | 3.2397 | 1.33 | 300 | 3.1685 |
55
+ | 3.0931 | 1.55 | 350 | 3.0822 |
56
+ | 2.9593 | 1.77 | 400 | 2.9521 |
57
+ | 2.5904 | 1.99 | 450 | 2.7995 |
58
+ | 2.1358 | 2.21 | 500 | 2.4827 |
59
+ | 2.0137 | 2.43 | 550 | 2.3651 |
60
+ | 1.951 | 2.65 | 600 | 2.2448 |
61
+ | 1.684 | 2.88 | 650 | 2.3455 |
62
+ | 1.6708 | 3.1 | 700 | 2.5003 |
63
+ | 1.3927 | 3.32 | 750 | 2.3116 |
64
+ | 1.5237 | 3.54 | 800 | 2.6236 |
65
+ | 1.2826 | 3.76 | 850 | 2.4859 |
66
+ | 1.5274 | 3.98 | 900 | 2.1857 |
67
+ | 1.0727 | 4.2 | 950 | 2.5041 |
68
+ | 0.9465 | 4.42 | 1000 | 2.7958 |
69
+ | 1.0889 | 4.65 | 1050 | 2.3797 |
70
+ | 0.9121 | 4.87 | 1100 | 2.7570 |
71
+ | 0.8847 | 5.09 | 1150 | 3.0968 |
72
+ | 0.8864 | 5.31 | 1200 | 2.8488 |
73
+ | 0.8693 | 5.53 | 1250 | 2.6848 |
74
+ | 0.5451 | 5.75 | 1300 | 3.3272 |
75
+ | 0.8121 | 5.97 | 1350 | 3.6097 |
76
+ | 0.6214 | 6.19 | 1400 | 3.1954 |
77
+ | 0.5576 | 6.42 | 1450 | 3.2427 |
78
+ | 0.5576 | 6.64 | 1500 | 3.4471 |
79
+ | 0.4858 | 6.86 | 1550 | 3.2469 |
80
+ | 0.5947 | 7.08 | 1600 | 3.2522 |
81
+ | 0.4889 | 7.3 | 1650 | 3.3459 |
82
+ | 0.3126 | 7.52 | 1700 | 3.9616 |
83
+ | 0.3291 | 7.74 | 1750 | 3.9943 |
84
+ | 0.5337 | 7.96 | 1800 | 3.6498 |
85
+ | 0.2384 | 8.19 | 1850 | 4.2966 |
86
+ | 0.3566 | 8.41 | 1900 | 4.1365 |
87
+ | 0.3539 | 8.63 | 1950 | 4.1291 |
88
+ | 0.3219 | 8.85 | 2000 | 4.3024 |
89
+ | 0.2307 | 9.07 | 2050 | 4.1780 |
90
+ | 0.1922 | 9.29 | 2100 | 4.4078 |
91
+ | 0.1721 | 9.51 | 2150 | 4.2569 |
92
+ | 0.1541 | 9.73 | 2200 | 4.2138 |
93
+ | 0.3044 | 9.96 | 2250 | 4.2793 |
94
+ | 0.2642 | 10.18 | 2300 | 4.2676 |
95
+ | 0.1725 | 10.4 | 2350 | 4.0887 |
96
+ | 0.2223 | 10.62 | 2400 | 3.9813 |
97
+ | 0.2107 | 10.84 | 2450 | 4.1089 |
98
+ | 0.3262 | 11.06 | 2500 | 3.9025 |
99
+ | 0.383 | 11.28 | 2550 | 4.1511 |
100
+ | 0.1437 | 11.5 | 2600 | 4.1774 |
101
+ | 0.2707 | 11.73 | 2650 | 4.1749 |
102
+ | 0.1692 | 11.95 | 2700 | 4.3012 |
103
+ | 0.1651 | 12.17 | 2750 | 4.3723 |
104
+ | 0.1388 | 12.39 | 2800 | 4.3273 |
105
+ | 0.1072 | 12.61 | 2850 | 4.7238 |
106
+ | 0.1748 | 12.83 | 2900 | 4.3425 |
107
+ | 0.1053 | 13.05 | 2950 | 4.0696 |
108
+ | 0.1929 | 13.27 | 3000 | 4.6322 |
109
+ | 0.028 | 13.5 | 3050 | 4.4843 |
110
+ | 0.0207 | 13.72 | 3100 | 4.9324 |
111
+ | 0.0662 | 13.94 | 3150 | 4.9421 |
112
+ | 0.0644 | 14.16 | 3200 | 4.8991 |
113
+ | 0.0321 | 14.38 | 3250 | 4.7757 |
114
+ | 0.0567 | 14.6 | 3300 | 4.9158 |
115
+ | 0.0552 | 14.82 | 3350 | 5.0722 |
116
+ | 0.0695 | 15.04 | 3400 | 5.0160 |
117
+ | 0.081 | 15.27 | 3450 | 5.1969 |
118
+ | 0.084 | 15.49 | 3500 | 5.2285 |
119
+ | 0.0372 | 15.71 | 3550 | 5.2621 |
120
+ | 0.1193 | 15.93 | 3600 | 5.1806 |
121
+ | 0.0166 | 16.15 | 3650 | 5.2799 |
122
+ | 0.029 | 16.37 | 3700 | 5.2543 |
123
+ | 0.048 | 16.59 | 3750 | 5.1176 |
124
+ | 0.143 | 16.81 | 3800 | 5.1800 |
125
+ | 0.033 | 17.04 | 3850 | 5.1635 |
126
+ | 0.0424 | 17.26 | 3900 | 5.1982 |
127
+ | 0.004 | 17.48 | 3950 | 5.2322 |
128
+ | 0.0143 | 17.7 | 4000 | 5.2242 |
129
+ | 0.0261 | 17.92 | 4050 | 5.3110 |
130
+ | 0.0076 | 18.14 | 4100 | 5.3329 |
131
+ | 0.0036 | 18.36 | 4150 | 5.3355 |
132
+ | 0.0182 | 18.58 | 4200 | 5.3223 |
133
+ | 0.0466 | 18.81 | 4250 | 5.2396 |
134
+ | 0.0036 | 19.03 | 4300 | 5.2409 |
135
+ | 0.0278 | 19.25 | 4350 | 5.2128 |
136
+ | 0.015 | 19.47 | 4400 | 5.2227 |
137
+ | 0.0394 | 19.69 | 4450 | 5.2018 |
138
+ | 0.0034 | 19.91 | 4500 | 5.2024 |
139
+
140
+
141
+ ### Framework versions
142
+
143
+ - Transformers 4.35.2
144
+ - Pytorch 2.1.0+cu118
145
+ - Datasets 2.15.0
146
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d50259f96dee2e59bafd10d08c63634c92957381c03aceacc46f55b84c4e205b
3
  size 802053752
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ec8b70468dec51be3693fe24f0b97d0a42f061133118952259613695305f7f3
3
  size 802053752
runs/Dec11_05-21-26_3fe3e9cdc76e/events.out.tfevents.1702272103.3fe3e9cdc76e.5054.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d99bbd3b9c74633c304b03e437fbe8c754a65f84d6c2a9250705fc351639e993
3
- size 43966
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c51016ca06f61f82bb2b6f75e84145ef18556c98315bf411f8a1f72626148ba4
3
+ size 45176