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-rv2
   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: 0.0899
-- Meteor Score: {'meteor': 0.5577380197407182}
+- Loss: 0.0846
+- Meteor Score: {'meteor': 0.6192748531057986}
 
 ## Model description
 
@@ -47,7 +47,7 @@ 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_with_restarts
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 100
+- num_epochs: 80
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -118,22 +118,6 @@ The following hyperparameters were used during training:
 | 0.2172        | 77.5  | 310  | 0.0916          | {'meteor': 0.5749770810265012}   |
 | 0.1713        | 78.75 | 315  | 0.0865          | {'meteor': 0.5649165162143892}   |
 | 0.151         | 80.0  | 320  | 0.0846          | {'meteor': 0.6192748531057986}   |
-| 0.1111        | 81.25 | 325  | 0.0825          | {'meteor': 0.5640441608493381}   |
-| 0.099         | 82.5  | 330  | 0.0781          | {'meteor': 0.6179778084590399}   |
-| 0.0714        | 83.75 | 335  | 0.0856          | {'meteor': 0.5958390173160644}   |
-| 0.0705        | 85.0  | 340  | 0.0797          | {'meteor': 0.5827496144315594}   |
-| 0.059         | 86.25 | 345  | 0.0824          | {'meteor': 0.6510685889849334}   |
-| 0.061         | 87.5  | 350  | 0.0833          | {'meteor': 0.5595290703694792}   |
-| 0.0396        | 88.75 | 355  | 0.0819          | {'meteor': 0.5831868888443518}   |
-| 0.04          | 90.0  | 360  | 0.0849          | {'meteor': 0.5717283325651813}   |
-| 0.034         | 91.25 | 365  | 0.0852          | {'meteor': 0.5534919232419521}   |
-| 0.0298        | 92.5  | 370  | 0.0850          | {'meteor': 0.5673063714054394}   |
-| 0.0229        | 93.75 | 375  | 0.0838          | {'meteor': 0.5558349346328261}   |
-| 0.0186        | 95.0  | 380  | 0.0880          | {'meteor': 0.5705577231649329}   |
-| 0.0161        | 96.25 | 385  | 0.0828          | {'meteor': 0.6142160588186542}   |
-| 0.0157        | 97.5  | 390  | 0.0865          | {'meteor': 0.567164148088731}    |
-| 0.0125        | 98.75 | 395  | 0.0893          | {'meteor': 0.5478335373861916}   |
-| 0.0101        | 100.0 | 400  | 0.0899          | {'meteor': 0.5577380197407182}   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8828ab2a9e6245c8c2406476348b9248f21ab0aebe59aa88c538241a70fe1dad
 size 1576851440

runs/Jul18_09-33-14_OZPC/events.out.tfevents.1752852797.OZPC.19140.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2c5701e983086820958877ba8e1e25d3a41a5cb02f0056f13ad3ba7acf1f37c
-size 35088
+oid sha256:98bce1935bd92a18f7f3da0cbd00a52556b3df606aac57f3b1db83319a768412
+size 36406