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git-large-r-coco-IDB_ADv1_COCOv6-rv2

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End of training

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  1. README.md +30 -76
  2. model.safetensors +1 -1
  3. runs/Jul18_18-42-29_OZPC/events.out.tfevents.1752885754.OZPC.5052.3 +2 -2
README.md CHANGED
@@ -1,11 +1,11 @@
1
  ---
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- 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: 0.9145
22
- - Meteor Score: {'meteor': 0.5670195626869615}
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  ## Model description
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@@ -42,82 +42,36 @@ The following hyperparameters were used during training:
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  - train_batch_size: 6
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 4
46
- - total_train_batch_size: 24
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: cosine_with_restarts
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- - lr_scheduler_warmup_steps: 500
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- - num_epochs: 80
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
56
- |:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
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- | 46.0232 | 1.25 | 5 | 11.5757 | {'meteor': 0.04690069379181132} |
58
- | 46.004 | 2.5 | 10 | 11.5280 | {'meteor': 0.047607395570221776} |
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- | 45.5112 | 3.75 | 15 | 11.0826 | {'meteor': 0.05587345527521243} |
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- | 43.4917 | 5.0 | 20 | 10.3986 | {'meteor': 0.050605440705834136} |
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- | 41.2771 | 6.25 | 25 | 10.1677 | {'meteor': 0.045081316545914296} |
62
- | 40.3826 | 7.5 | 30 | 9.9257 | {'meteor': 0.046109585577149455} |
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- | 39.5766 | 8.75 | 35 | 9.6938 | {'meteor': 0.04791341536412119} |
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- | 38.6654 | 10.0 | 40 | 9.4676 | {'meteor': 0.056118267300114405} |
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- | 37.8556 | 11.25 | 45 | 9.2460 | {'meteor': 0.0646541534282696} |
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- | 36.9914 | 12.5 | 50 | 9.0464 | {'meteor': 0.06416688063698561} |
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- | 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} |
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- | 32.0443 | 21.25 | 85 | 7.8087 | {'meteor': 0.08633216660758013} |
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- | 31.3981 | 22.5 | 90 | 7.6553 | {'meteor': 0.08623368876563706} |
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- | 30.8725 | 23.75 | 95 | 7.5146 | {'meteor': 0.09846856906235638} |
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- | 30.2577 | 25.0 | 100 | 7.3801 | {'meteor': 0.10276759760059294} |
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- | 29.7474 | 26.25 | 105 | 7.2507 | {'meteor': 0.10613210049792668} |
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- | 29.2894 | 27.5 | 110 | 7.1239 | {'meteor': 0.13790065127920864} |
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- | 28.6819 | 28.75 | 115 | 7.0016 | {'meteor': 0.1499525264660323} |
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- | 28.2766 | 30.0 | 120 | 6.8826 | {'meteor': 0.1623889673105055} |
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- | 27.8368 | 31.25 | 125 | 6.7674 | {'meteor': 0.16558142946846452} |
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- | 27.2363 | 32.5 | 130 | 6.6516 | {'meteor': 0.18067707147696366} |
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- | 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} |
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- | 24.0207 | 41.25 | 165 | 5.8232 | {'meteor': 0.3346296347468463} |
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- | 23.5043 | 42.5 | 170 | 5.6940 | {'meteor': 0.3640092970358211} |
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- | 23.0053 | 43.75 | 175 | 5.5694 | {'meteor': 0.39298077183250996} |
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- | 22.5147 | 45.0 | 180 | 5.4367 | {'meteor': 0.4101475012845666} |
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- | 21.9149 | 46.25 | 185 | 5.3064 | {'meteor': 0.4454252489181049} |
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- | 21.4485 | 47.5 | 190 | 5.1693 | {'meteor': 0.4488998242275543} |
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- | 20.9062 | 48.75 | 195 | 5.0282 | {'meteor': 0.45517787205320787} |
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- | 20.2946 | 50.0 | 200 | 4.8857 | {'meteor': 0.4670168114658528} |
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- | 19.7408 | 51.25 | 205 | 4.7424 | {'meteor': 0.46885187008247564} |
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- | 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} |
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- | 17.3241 | 56.25 | 225 | 4.1343 | {'meteor': 0.4585172700828576} |
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- | 16.6322 | 57.5 | 230 | 3.9754 | {'meteor': 0.49224016290891875} |
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- | 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} |
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- | 13.3669 | 63.75 | 255 | 3.1352 | {'meteor': 0.5120252275835627} |
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- | 12.6031 | 65.0 | 260 | 2.9628 | {'meteor': 0.5227148858383636} |
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- | 11.9116 | 66.25 | 265 | 2.7814 | {'meteor': 0.5334414700925539} |
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- | 11.1547 | 67.5 | 270 | 2.6098 | {'meteor': 0.529874570496232} |
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- | 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} |
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- | 7.5647 | 73.75 | 295 | 1.7105 | {'meteor': 0.5638295155858636} |
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- | 6.8195 | 75.0 | 300 | 1.5389 | {'meteor': 0.5592943545681} |
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- | 6.1153 | 76.25 | 305 | 1.3699 | {'meteor': 0.5635556260319741} |
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- | 5.4348 | 77.5 | 310 | 1.2120 | {'meteor': 0.5634094242533236} |
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- | 4.7841 | 78.75 | 315 | 1.0553 | {'meteor': 0.5515314216323808} |
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- | 4.2107 | 80.0 | 320 | 0.9145 | {'meteor': 0.5670195626869615} |
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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: 1.2960
22
+ - Meteor Score: {'meteor': 0.6500893825313575}
23
 
24
  ## Model description
25
 
 
42
  - train_batch_size: 6
43
  - eval_batch_size: 8
44
  - seed: 42
45
+ - gradient_accumulation_steps: 16
46
+ - total_train_batch_size: 96
47
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_steps: 50
50
+ - num_epochs: 90
51
  - mixed_precision_training: Native AMP
52
 
53
  ### Training results
54
 
55
+ | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------------------------------:|
57
+ | 66.7134 | 5.0 | 5 | 4.0753 | {'meteor': 0.5993281464976976} |
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+ | 66.485 | 10.0 | 10 | 4.0433 | {'meteor': 0.6089663843576959} |
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+ | 65.6963 | 15.0 | 15 | 3.9786 | {'meteor': 0.6095333838712824} |
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+ | 64.3776 | 20.0 | 20 | 3.8813 | {'meteor': 0.6134190979436022} |
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+ | 62.5373 | 25.0 | 25 | 3.7532 | {'meteor': 0.6085557200756545} |
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+ | 60.1653 | 30.0 | 30 | 3.5894 | {'meteor': 0.6101478691549013} |
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+ | 57.4769 | 35.0 | 35 | 3.3996 | {'meteor': 0.6216777032100391} |
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+ | 54.0515 | 40.0 | 40 | 3.1708 | {'meteor': 0.6117253911082575} |
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+ | 50.0954 | 45.0 | 45 | 2.9117 | {'meteor': 0.6318492684705416} |
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+ | 45.6823 | 50.0 | 50 | 2.6244 | {'meteor': 0.628492202016849} |
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+ | 40.8434 | 55.0 | 55 | 2.3222 | {'meteor': 0.6366743166997665} |
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+ | 35.9606 | 60.0 | 60 | 2.0199 | {'meteor': 0.6428147388556926} |
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+ | 31.3121 | 65.0 | 65 | 1.7651 | {'meteor': 0.6421314637392068} |
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+ | 27.5112 | 70.0 | 70 | 1.5673 | {'meteor': 0.6483513899407666} |
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+ | 24.653 | 75.0 | 75 | 1.4289 | {'meteor': 0.647761821003933} |
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+ | 22.7509 | 80.0 | 80 | 1.3469 | {'meteor': 0.6445735067208078} |
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+ | 21.6869 | 85.0 | 85 | 1.3067 | {'meteor': 0.651431012014952} |
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+ | 21.2456 | 90.0 | 90 | 1.2960 | {'meteor': 0.6500893825313575} |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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