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git-large-r-coco-IDB_ADv1_COCOv6-rv2

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  1. README.md +70 -70
  2. model.safetensors +1 -1
  3. runs/Jul18_16-07-36_OZPC/events.out.tfevents.1752876461.OZPC.19140.4 +2 -2
README.md CHANGED
@@ -1,11 +1,11 @@
1
  ---
2
- base_model: microsoft/git-large-r-coco
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- datasets:
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- - imagefolder
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  library_name: transformers
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  license: mit
 
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: git-large-r-coco-IDB_ADv1_COCOv6-rv2
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  results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/git-large-r-coco](https://huggingface.co/microsoft/git-large-r-coco) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0846
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- - Meteor Score: {'meteor': 0.6192748531057986}
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 6
43
  - eval_batch_size: 8
44
  - seed: 42
@@ -54,70 +54,70 @@ The following hyperparameters were used during training:
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
57
- | 46.0232 | 1.25 | 5 | 11.5755 | {'meteor': 0.04677245571785658} |
58
- | 45.9487 | 2.5 | 10 | 11.4165 | {'meteor': 0.050038090663609154} |
59
- | 44.6788 | 3.75 | 15 | 10.7740 | {'meteor': 0.056994389164118336} |
60
- | 41.8084 | 5.0 | 20 | 10.1987 | {'meteor': 0.04545388083541206} |
61
- | 40.4409 | 6.25 | 25 | 9.9091 | {'meteor': 0.04608873995632133} |
62
- | 39.4008 | 7.5 | 30 | 9.6424 | {'meteor': 0.055588206125793474} |
63
- | 38.4703 | 8.75 | 35 | 9.3619 | {'meteor': 0.06048588966617304} |
64
- | 37.3356 | 10.0 | 40 | 9.1084 | {'meteor': 0.06482064671706292} |
65
- | 36.4274 | 11.25 | 45 | 8.8692 | {'meteor': 0.06567114012020266} |
66
- | 35.4386 | 12.5 | 50 | 8.6352 | {'meteor': 0.06728261836977746} |
67
- | 34.5832 | 13.75 | 55 | 8.4099 | {'meteor': 0.07409558382360953} |
68
- | 33.6516 | 15.0 | 60 | 8.1891 | {'meteor': 0.07977943230454838} |
69
- | 32.8106 | 16.25 | 65 | 7.9752 | {'meteor': 0.0778701356963552} |
70
- | 31.9407 | 17.5 | 70 | 7.7687 | {'meteor': 0.08597605851235653} |
71
- | 31.2082 | 18.75 | 75 | 7.5773 | {'meteor': 0.09598227698676837} |
72
- | 30.486 | 20.0 | 80 | 7.3975 | {'meteor': 0.09889621088628038} |
73
- | 29.7643 | 21.25 | 85 | 7.2328 | {'meteor': 0.10856309625544508} |
74
- | 29.0758 | 22.5 | 90 | 7.0710 | {'meteor': 0.14725072052231608} |
75
- | 28.5082 | 23.75 | 95 | 6.9114 | {'meteor': 0.15705652262476558} |
76
- | 27.8007 | 25.0 | 100 | 6.7602 | {'meteor': 0.16177867331539922} |
77
- | 27.2173 | 26.25 | 105 | 6.6117 | {'meteor': 0.1682475035748969} |
78
- | 26.6688 | 27.5 | 110 | 6.4583 | {'meteor': 0.1909222698482698} |
79
- | 25.9635 | 28.75 | 115 | 6.3063 | {'meteor': 0.1911850483450553} |
80
- | 25.4147 | 30.0 | 120 | 6.1522 | {'meteor': 0.2341227004096568} |
81
- | 24.8201 | 31.25 | 125 | 5.9974 | {'meteor': 0.23117771991044866} |
82
- | 24.0673 | 32.5 | 130 | 5.8336 | {'meteor': 0.2737313431261004} |
83
- | 23.5528 | 33.75 | 135 | 5.6688 | {'meteor': 0.35832238963971785} |
84
- | 22.8279 | 35.0 | 140 | 5.5012 | {'meteor': 0.39499762798181626} |
85
- | 22.176 | 36.25 | 145 | 5.3296 | {'meteor': 0.4233889401191947} |
86
- | 21.4273 | 37.5 | 150 | 5.1503 | {'meteor': 0.44013351855304983} |
87
- | 20.7534 | 38.75 | 155 | 4.9687 | {'meteor': 0.4625861240662986} |
88
- | 20.0179 | 40.0 | 160 | 4.7796 | {'meteor': 0.46140337702466466} |
89
- | 19.2425 | 41.25 | 165 | 4.5908 | {'meteor': 0.47018343242271154} |
90
- | 18.4489 | 42.5 | 170 | 4.3887 | {'meteor': 0.482953589153019} |
91
- | 17.6571 | 43.75 | 175 | 4.1898 | {'meteor': 0.492548018403917} |
92
- | 16.869 | 45.0 | 180 | 3.9837 | {'meteor': 0.5016617524232503} |
93
- | 15.9871 | 46.25 | 185 | 3.7752 | {'meteor': 0.5051529528564385} |
94
- | 15.1779 | 47.5 | 190 | 3.5569 | {'meteor': 0.5084712471988233} |
95
- | 14.3001 | 48.75 | 195 | 3.3326 | {'meteor': 0.5248026362201007} |
96
- | 13.3604 | 50.0 | 200 | 3.1083 | {'meteor': 0.5261359113619027} |
97
- | 12.4596 | 51.25 | 205 | 2.8784 | {'meteor': 0.5335422815084864} |
98
- | 11.5523 | 52.5 | 210 | 2.6445 | {'meteor': 0.5369227495984353} |
99
- | 10.5608 | 53.75 | 215 | 2.4123 | {'meteor': 0.5363145061421987} |
100
- | 9.6465 | 55.0 | 220 | 2.1778 | {'meteor': 0.5507419287898095} |
101
- | 8.7036 | 56.25 | 225 | 1.9452 | {'meteor': 0.5540557500564531} |
102
- | 7.7267 | 57.5 | 230 | 1.7148 | {'meteor': 0.5620105422893763} |
103
- | 6.8593 | 58.75 | 235 | 1.4937 | {'meteor': 0.5604667625410907} |
104
- | 5.8935 | 60.0 | 240 | 1.2758 | {'meteor': 0.5789564702679773} |
105
- | 5.0415 | 61.25 | 245 | 1.0786 | {'meteor': 0.5654289481235008} |
106
- | 4.2227 | 62.5 | 250 | 0.8915 | {'meteor': 0.570353762511702} |
107
- | 3.4907 | 63.75 | 255 | 0.7270 | {'meteor': 0.5759397948950823} |
108
- | 2.7857 | 65.0 | 260 | 0.5794 | {'meteor': 0.5798540500782795} |
109
- | 2.1964 | 66.25 | 265 | 0.4599 | {'meteor': 0.5905822976728022} |
110
- | 1.7148 | 67.5 | 270 | 0.3657 | {'meteor': 0.5842054529605895} |
111
- | 1.3691 | 68.75 | 275 | 0.2887 | {'meteor': 0.5875040164924703} |
112
- | 1.025 | 70.0 | 280 | 0.2386 | {'meteor': 0.5615488466764883} |
113
- | 0.8023 | 71.25 | 285 | 0.1880 | {'meteor': 0.5843781895917675} |
114
- | 0.5906 | 72.5 | 290 | 0.1534 | {'meteor': 0.6001388262821296} |
115
- | 0.4757 | 73.75 | 295 | 0.1300 | {'meteor': 0.5963663923313044} |
116
- | 0.3349 | 75.0 | 300 | 0.1121 | {'meteor': 0.5960796344820597} |
117
- | 0.255 | 76.25 | 305 | 0.0983 | {'meteor': 0.5796325783604667} |
118
- | 0.2172 | 77.5 | 310 | 0.0916 | {'meteor': 0.5749770810265012} |
119
- | 0.1713 | 78.75 | 315 | 0.0865 | {'meteor': 0.5649165162143892} |
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- | 0.151 | 80.0 | 320 | 0.0846 | {'meteor': 0.6192748531057986} |
121
 
122
 
123
  ### Framework versions
 
1
  ---
 
 
 
2
  library_name: transformers
3
  license: mit
4
+ base_model: microsoft/git-large-r-coco
5
  tags:
6
  - generated_from_trainer
7
+ datasets:
8
+ - imagefolder
9
  model-index:
10
  - name: git-large-r-coco-IDB_ADv1_COCOv6-rv2
11
  results: []
 
18
 
19
  This model is a fine-tuned version of [microsoft/git-large-r-coco](https://huggingface.co/microsoft/git-large-r-coco) on the imagefolder dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.9145
22
+ - Meteor Score: {'meteor': 0.5670195626869615}
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
+ - learning_rate: 3e-05
42
  - train_batch_size: 6
43
  - eval_batch_size: 8
44
  - seed: 42
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
57
+ | 46.0232 | 1.25 | 5 | 11.5757 | {'meteor': 0.04690069379181132} |
58
+ | 46.004 | 2.5 | 10 | 11.5280 | {'meteor': 0.047607395570221776} |
59
+ | 45.5112 | 3.75 | 15 | 11.0826 | {'meteor': 0.05587345527521243} |
60
+ | 43.4917 | 5.0 | 20 | 10.3986 | {'meteor': 0.050605440705834136} |
61
+ | 41.2771 | 6.25 | 25 | 10.1677 | {'meteor': 0.045081316545914296} |
62
+ | 40.3826 | 7.5 | 30 | 9.9257 | {'meteor': 0.046109585577149455} |
63
+ | 39.5766 | 8.75 | 35 | 9.6938 | {'meteor': 0.04791341536412119} |
64
+ | 38.6654 | 10.0 | 40 | 9.4676 | {'meteor': 0.056118267300114405} |
65
+ | 37.8556 | 11.25 | 45 | 9.2460 | {'meteor': 0.0646541534282696} |
66
+ | 36.9914 | 12.5 | 50 | 9.0464 | {'meteor': 0.06416688063698561} |
67
+ | 36.2399 | 13.75 | 55 | 8.8500 | {'meteor': 0.06452283124352096} |
68
+ | 35.4475 | 15.0 | 60 | 8.6678 | {'meteor': 0.062068434118986875} |
69
+ | 34.749 | 16.25 | 65 | 8.4863 | {'meteor': 0.06796748656091173} |
70
+ | 34.013 | 17.5 | 70 | 8.3105 | {'meteor': 0.0761275593758019} |
71
+ | 33.3683 | 18.75 | 75 | 8.1359 | {'meteor': 0.07781118927226788} |
72
+ | 32.7103 | 20.0 | 80 | 7.9660 | {'meteor': 0.0720697286342178} |
73
+ | 32.0443 | 21.25 | 85 | 7.8087 | {'meteor': 0.08633216660758013} |
74
+ | 31.3981 | 22.5 | 90 | 7.6553 | {'meteor': 0.08623368876563706} |
75
+ | 30.8725 | 23.75 | 95 | 7.5146 | {'meteor': 0.09846856906235638} |
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+ | 30.2577 | 25.0 | 100 | 7.3801 | {'meteor': 0.10276759760059294} |
77
+ | 29.7474 | 26.25 | 105 | 7.2507 | {'meteor': 0.10613210049792668} |
78
+ | 29.2894 | 27.5 | 110 | 7.1239 | {'meteor': 0.13790065127920864} |
79
+ | 28.6819 | 28.75 | 115 | 7.0016 | {'meteor': 0.1499525264660323} |
80
+ | 28.2766 | 30.0 | 120 | 6.8826 | {'meteor': 0.1623889673105055} |
81
+ | 27.8368 | 31.25 | 125 | 6.7674 | {'meteor': 0.16558142946846452} |
82
+ | 27.2363 | 32.5 | 130 | 6.6516 | {'meteor': 0.18067707147696366} |
83
+ | 26.9104 | 33.75 | 135 | 6.5395 | {'meteor': 0.1902076055826109} |
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+ | 26.3969 | 35.0 | 140 | 6.4219 | {'meteor': 0.19967391183196687} |
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+ | 25.9642 | 36.25 | 145 | 6.3067 | {'meteor': 0.20491030194678278} |
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+ | 25.4261 | 37.5 | 150 | 6.1895 | {'meteor': 0.24049138001924492} |
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+ | 25.0158 | 38.75 | 155 | 6.0675 | {'meteor': 0.27280517248636943} |
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+ | 24.5341 | 40.0 | 160 | 5.9455 | {'meteor': 0.31174917426046617} |
89
+ | 24.0207 | 41.25 | 165 | 5.8232 | {'meteor': 0.3346296347468463} |
90
+ | 23.5043 | 42.5 | 170 | 5.6940 | {'meteor': 0.3640092970358211} |
91
+ | 23.0053 | 43.75 | 175 | 5.5694 | {'meteor': 0.39298077183250996} |
92
+ | 22.5147 | 45.0 | 180 | 5.4367 | {'meteor': 0.4101475012845666} |
93
+ | 21.9149 | 46.25 | 185 | 5.3064 | {'meteor': 0.4454252489181049} |
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+ | 21.4485 | 47.5 | 190 | 5.1693 | {'meteor': 0.4488998242275543} |
95
+ | 20.9062 | 48.75 | 195 | 5.0282 | {'meteor': 0.45517787205320787} |
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+ | 20.2946 | 50.0 | 200 | 4.8857 | {'meteor': 0.4670168114658528} |
97
+ | 19.7408 | 51.25 | 205 | 4.7424 | {'meteor': 0.46885187008247564} |
98
+ | 19.1833 | 52.5 | 210 | 4.5962 | {'meteor': 0.48009210397830365} |
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+ | 18.5146 | 53.75 | 215 | 4.4414 | {'meteor': 0.48190118690818967} |
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+ | 17.9353 | 55.0 | 220 | 4.2908 | {'meteor': 0.47995665529044884} |
101
+ | 17.3241 | 56.25 | 225 | 4.1343 | {'meteor': 0.4585172700828576} |
102
+ | 16.6322 | 57.5 | 230 | 3.9754 | {'meteor': 0.49224016290891875} |
103
+ | 16.0912 | 58.75 | 235 | 3.8126 | {'meteor': 0.4905347101207873} |
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+ | 15.3454 | 60.0 | 240 | 3.6444 | {'meteor': 0.5111816415314908} |
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+ | 14.701 | 61.25 | 245 | 3.4792 | {'meteor': 0.5105523817202849} |
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+ | 13.9865 | 62.5 | 250 | 3.3082 | {'meteor': 0.5129290396554559} |
107
+ | 13.3669 | 63.75 | 255 | 3.1352 | {'meteor': 0.5120252275835627} |
108
+ | 12.6031 | 65.0 | 260 | 2.9628 | {'meteor': 0.5227148858383636} |
109
+ | 11.9116 | 66.25 | 265 | 2.7814 | {'meteor': 0.5334414700925539} |
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+ | 11.1547 | 67.5 | 270 | 2.6098 | {'meteor': 0.529874570496232} |
111
+ | 10.502 | 68.75 | 275 | 2.4253 | {'meteor': 0.5417984215155089} |
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+ | 9.7295 | 70.0 | 280 | 2.2425 | {'meteor': 0.5539765230302648} |
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+ | 9.0068 | 71.25 | 285 | 2.0664 | {'meteor': 0.5482088952549299} |
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+ | 8.2511 | 72.5 | 290 | 1.8853 | {'meteor': 0.5556276338633395} |
115
+ | 7.5647 | 73.75 | 295 | 1.7105 | {'meteor': 0.5638295155858636} |
116
+ | 6.8195 | 75.0 | 300 | 1.5389 | {'meteor': 0.5592943545681} |
117
+ | 6.1153 | 76.25 | 305 | 1.3699 | {'meteor': 0.5635556260319741} |
118
+ | 5.4348 | 77.5 | 310 | 1.2120 | {'meteor': 0.5634094242533236} |
119
+ | 4.7841 | 78.75 | 315 | 1.0553 | {'meteor': 0.5515314216323808} |
120
+ | 4.2107 | 80.0 | 320 | 0.9145 | {'meteor': 0.5670195626869615} |
121
 
122
 
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  ### Framework versions
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