End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9991610738255033
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0081
-- Accuracy: 0.9992
+- Loss: 0.0013
+- Accuracy: 1.0
 
 ## Model description
 
@@ -60,13 +60,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0126        | 0.9954 | 162  | 0.0081          | 0.9992   |
+| 0.0167        | 0.9954 | 162  | 0.0135          | 0.9966   |
+| 0.0032        | 1.9969 | 325  | 0.0030          | 0.9992   |
+| 0.0038        | 2.9985 | 488  | 0.0021          | 0.9992   |
+| 0.0022        | 4.0    | 651  | 0.0013          | 1.0      |
+| 0.0016        | 4.9770 | 810  | 0.0013          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81b0491f3d1cdff6780e4c709d777600466c22e8a9d0b2e42b90faaf528255a4
+oid sha256:c7b3d9283aa1062bbd275e3a5798938919cfca488f95672e9c9a1a10ede27ee5
 size 343262016