update model card README.md

README.md

@@ -1,7 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- masked-auto-encoding
 - generated_from_trainer
 model-index:
 - name: MAE
@@ -13,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # MAE
 
-This model is a fine-tuned version of [facebook/vit-mae-base](https://huggingface.co/facebook/vit-mae-base) on the Circularmachines/batch_indexing_machine_224x224_images dataset.
+This model is a fine-tuned version of [facebook/vit-mae-base](https://huggingface.co/facebook/vit-mae-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2478
+- Loss: 0.2262
 
 ## Model description
 
@@ -41,13 +40,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.05
-- num_epochs: 1.0
+- num_epochs: 10.0
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.2611        | 1.0   | 7705 | 0.2473          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.249         | 1.0   | 7705  | 0.2445          |
+| 0.2269        | 2.0   | 15410 | 0.2373          |
+| 0.2401        | 3.0   | 23115 | 0.2334          |
+| 0.2202        | 4.0   | 30820 | 0.2305          |
+| 0.2173        | 5.0   | 38525 | 0.2283          |
+| 0.2347        | 6.0   | 46230 | 0.2282          |
+| 0.2304        | 7.0   | 53935 | 0.2268          |
+| 0.2267        | 8.0   | 61640 | 0.2262          |
+| 0.2177        | 9.0   | 69345 | 0.2254          |
+| 0.2175        | 10.0  | 77050 | 0.2262          |
 
 
 ### Framework versions