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End of training

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README.md CHANGED
@@ -1,11 +1,11 @@
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  ---
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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-r
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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: 0.0540
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- - Meteor Score: {'meteor': 0.5075570043149206}
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  ## Model description
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@@ -54,22 +54,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------:|
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- | 0.551 | 5.0 | 5 | 0.0734 | {'meteor': 0.5042814506352259} |
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- | 0.4703 | 10.0 | 10 | 0.0631 | {'meteor': 0.495814120569145} |
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- | 0.3246 | 15.0 | 15 | 0.0564 | {'meteor': 0.48881841399678044} |
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- | 0.2112 | 20.0 | 20 | 0.0527 | {'meteor': 0.5073822434784694} |
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- | 0.1651 | 25.0 | 25 | 0.0510 | {'meteor': 0.5005678458488685} |
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- | 0.1247 | 30.0 | 30 | 0.0504 | {'meteor': 0.5144208706967903} |
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- | 0.0997 | 35.0 | 35 | 0.0500 | {'meteor': 0.5178779770873956} |
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- | 0.0843 | 40.0 | 40 | 0.0507 | {'meteor': 0.5241696669726874} |
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- | 0.0755 | 45.0 | 45 | 0.0514 | {'meteor': 0.520413206772597} |
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- | 0.0734 | 50.0 | 50 | 0.0523 | {'meteor': 0.5239353264449595} |
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- | 0.0644 | 55.0 | 55 | 0.0518 | {'meteor': 0.5096192703816818} |
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- | 0.0602 | 60.0 | 60 | 0.0530 | {'meteor': 0.5057065282317589} |
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- | 0.0533 | 65.0 | 65 | 0.0538 | {'meteor': 0.5075302445677657} |
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- | 0.048 | 70.0 | 70 | 0.0539 | {'meteor': 0.5069154717107972} |
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- | 0.0451 | 75.0 | 75 | 0.0539 | {'meteor': 0.5077649969340499} |
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- | 0.0417 | 80.0 | 80 | 0.0540 | {'meteor': 0.5075570043149206} |
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  ### Framework versions
 
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  ---
 
 
 
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  library_name: transformers
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  license: mit
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+ base_model: microsoft/git-large-r-coco
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - imagefolder
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  model-index:
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  - name: git-large-r-coco-IDB_ADv1_COCOv6-r
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  results: []
 
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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: 0.4382
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+ - Meteor Score: {'meteor': 0.6824076148140416}
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Meteor Score |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------:|
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+ | 27.8843 | 5.0 | 5 | 2.2779 | {'meteor': 0.42881843961238963} |
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+ | 26.945 | 10.0 | 10 | 2.0505 | {'meteor': 0.501440106486018} |
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+ | 23.3885 | 15.0 | 15 | 1.7544 | {'meteor': 0.5479716568094775} |
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+ | 19.76 | 20.0 | 20 | 1.4758 | {'meteor': 0.5955711928745901} |
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+ | 16.4691 | 25.0 | 25 | 1.2338 | {'meteor': 0.6204550135358564} |
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+ | 13.6022 | 30.0 | 30 | 1.0289 | {'meteor': 0.6345912561041426} |
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+ | 11.1047 | 35.0 | 35 | 0.8510 | {'meteor': 0.6561421187912199} |
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+ | 9.0826 | 40.0 | 40 | 0.7206 | {'meteor': 0.6457048205815358} |
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+ | 7.4764 | 45.0 | 45 | 0.6199 | {'meteor': 0.6633570447161818} |
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+ | 6.2926 | 50.0 | 50 | 0.5478 | {'meteor': 0.6755789926464999} |
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+ | 5.4384 | 55.0 | 55 | 0.5033 | {'meteor': 0.6715844748121845} |
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+ | 4.8435 | 60.0 | 60 | 0.4708 | {'meteor': 0.6776793022097405} |
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+ | 4.4628 | 65.0 | 65 | 0.4527 | {'meteor': 0.6824716486996648} |
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+ | 4.2404 | 70.0 | 70 | 0.4427 | {'meteor': 0.6877583553949453} |
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+ | 4.1204 | 75.0 | 75 | 0.4396 | {'meteor': 0.683676455787374} |
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+ | 4.0752 | 80.0 | 80 | 0.4382 | {'meteor': 0.6824076148140416} |
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  ### Framework versions
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