End of training

README.md

@@ -1,11 +1,11 @@
 ---
-base_model: microsoft/git-large-r-coco
-datasets:
-- imagefolder
 library_name: transformers
 license: mit
+base_model: microsoft/git-large-r-coco
 tags:
 - generated_from_trainer
+datasets:
+- imagefolder
 model-index:
 - name: git-large-r-coco-IDB_ADv1_COCOv6-r
   results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.0759
-- Meteor Score: {'meteor': 0.5120753072373921}
+- Loss: 2.8325
+- Meteor Score: {'meteor': 0.44716808145000575}
 
 ## Model description
 
@@ -47,43 +47,33 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 5
-- num_epochs: 150
+- num_epochs: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Meteor Score                   |
-|:-------------:|:-------:|:----:|:---------------:|:------------------------------:|
-| 0.2014        | 3.0     | 5    | 0.0722          | {'meteor': 0.5065157314467645} |
-| 0.2196        | 6.6667  | 10   | 0.0627          | {'meteor': 0.5305128358337737} |
-| 0.1292        | 10.0    | 15   | 0.0594          | {'meteor': 0.5263979985260087} |
-| 0.0872        | 13.3333 | 20   | 0.0605          | {'meteor': 0.5108520041090149} |
-| 0.0818        | 17.0    | 25   | 0.0582          | {'meteor': 0.5113838555978679} |
-| 0.0531        | 20.0    | 30   | 0.0621          | {'meteor': 0.5103098091443673} |
-| 0.0443        | 23.0    | 35   | 0.0632          | {'meteor': 0.5018489405290812} |
-| 0.0489        | 26.6667 | 40   | 0.0639          | {'meteor': 0.5119666957218931} |
-| 0.0315        | 30.0    | 45   | 0.0648          | {'meteor': 0.5128484629162279} |
-| 0.0245        | 33.3333 | 50   | 0.0674          | {'meteor': 0.5114053511060893} |
-| 0.0213        | 37.0    | 55   | 0.0689          | {'meteor': 0.5103811878007981} |
-| 0.0108        | 40.0    | 60   | 0.0704          | {'meteor': 0.5080035696805529} |
-| 0.0089        | 43.0    | 65   | 0.0712          | {'meteor': 0.5235500043256491} |
-| 0.0088        | 46.6667 | 70   | 0.0730          | {'meteor': 0.5162015377767581} |
-| 0.0079        | 50.0    | 75   | 0.0704          | {'meteor': 0.508295723546233}  |
-| 0.0055        | 53.3333 | 80   | 0.0727          | {'meteor': 0.5093121829271419} |
-| 0.0049        | 57.0    | 85   | 0.0739          | {'meteor': 0.5119514909960822} |
-| 0.0033        | 60.0    | 90   | 0.0749          | {'meteor': 0.5106012588241947} |
-| 0.0033        | 63.0    | 95   | 0.0751          | {'meteor': 0.5154173493739934} |
-| 0.0039        | 66.6667 | 100  | 0.0753          | {'meteor': 0.5147237489602302} |
-| 0.003         | 70.0    | 105  | 0.0758          | {'meteor': 0.5141283140032965} |
-| 0.0031        | 73.3333 | 110  | 0.0759          | {'meteor': 0.5147414640891067} |
-| 0.0033        | 77.0    | 115  | 0.0759          | {'meteor': 0.5143698813094443} |
-| 0.0026        | 80.0    | 120  | 0.0758          | {'meteor': 0.5133582948399001} |
-| 0.0025        | 83.0    | 125  | 0.0758          | {'meteor': 0.5121935317618276} |
-| 0.003         | 86.6667 | 130  | 0.0759          | {'meteor': 0.5121665250079868} |
-| 0.0026        | 90.0    | 135  | 0.0759          | {'meteor': 0.5116741831961337} |
-| 0.0026        | 93.3333 | 140  | 0.0759          | {'meteor': 0.512031945155839}  |
-| 0.003         | 97.0    | 145  | 0.0759          | {'meteor': 0.5120926382524592} |
-| 0.0024        | 100.0   | 150  | 0.0759          | {'meteor': 0.5120753072373921} |
+| Training Loss | Epoch   | Step | Validation Loss | Meteor Score                    |
+|:-------------:|:-------:|:----:|:---------------:|:-------------------------------:|
+| 82.9228       | 3.0     | 5    | 10.5760         | {'meteor': 0.05763852785320578} |
+| 89.2818       | 6.6667  | 10   | 9.2973          | {'meteor': 0.0566230094484481}  |
+| 71.0589       | 10.0    | 15   | 7.9880          | {'meteor': 0.06313383286499662} |
+| 62.1814       | 13.3333 | 20   | 7.1226          | {'meteor': 0.11846920353982553} |
+| 61.4373       | 17.0    | 25   | 6.4914          | {'meteor': 0.13491195786509014} |
+| 45.9064       | 20.0    | 30   | 5.9411          | {'meteor': 0.16754599930031555} |
+| 42.5802       | 23.0    | 35   | 5.4427          | {'meteor': 0.1915275196011832}  |
+| 47.7153       | 26.6667 | 40   | 4.9903          | {'meteor': 0.32374710181123983} |
+| 39.6858       | 30.0    | 45   | 4.5799          | {'meteor': 0.3415089427560285}  |
+| 36.5271       | 33.3333 | 50   | 4.2147          | {'meteor': 0.37617485564825703} |
+| 36.9405       | 37.0    | 55   | 3.8945          | {'meteor': 0.3963594699614644}  |
+| 28.0545       | 40.0    | 60   | 3.6215          | {'meteor': 0.40938786947486}    |
+| 26.4561       | 43.0    | 65   | 3.3945          | {'meteor': 0.42123476340997434} |
+| 30.432        | 46.6667 | 70   | 3.2123          | {'meteor': 0.4147437564703583}  |
+| 26.2868       | 50.0    | 75   | 3.0723          | {'meteor': 0.4409017964342259}  |
+| 25.2682       | 53.3333 | 80   | 2.9708          | {'meteor': 0.4466618012682805}  |
+| 26.9821       | 57.0    | 85   | 2.9025          | {'meteor': 0.44590994086182606} |
+| 21.6659       | 60.0    | 90   | 2.8609          | {'meteor': 0.4467688108057412}  |
+| 21.4648       | 63.0    | 95   | 2.8398          | {'meteor': 0.44716808145000575} |
+| 26.1056       | 66.6667 | 100  | 2.8325          | {'meteor': 0.44716808145000575} |
 
 
 ### Framework versions

model.safetensors

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 size 1576851440

runs/Jul16_07-06-21_OZPC/events.out.tfevents.1752671189.OZPC.19412.0

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