update model card README.md

README.md

@@ -1,18 +1,9 @@
 ---
 tags:
 - generated_from_trainer
-- trocr
-language: ar
 model-index:
 - name: ArOCR
-  results:
-  - task:
-      name: Optical Charater Recogntion 
-      type: image-to-text
-    metrics:
-    - name: Test CER
-      type: cer
-      value: 4.46
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0620
-- Cer: 0.0446
+- Loss: 0.0407
+- Cer: 0.0200
 
 ## Model description
 
@@ -43,28 +34,26 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Cer    |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 3.6633        | 0.3   | 1000  | 3.3381          | 1.0385 |
-| 2.3915        | 0.59  | 2000  | 2.3581          | 0.6389 |
-| 1.5061        | 0.89  | 3000  | 1.4635          | 0.4779 |
-| 0.8043        | 1.18  | 4000  | 0.8260          | 0.3427 |
-| 0.46          | 1.48  | 5000  | 0.5074          | 0.2242 |
-| 0.3393        | 1.77  | 6000  | 0.2699          | 0.1219 |
-| 0.1077        | 2.07  | 7000  | 0.1794          | 0.0933 |
-| 0.063         | 2.37  | 8000  | 0.1343          | 0.0617 |
-| 0.0356        | 2.66  | 9000  | 0.0790          | 0.0692 |
-| 0.0292        | 2.96  | 10000 | 0.0620          | 0.0446 |
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.6164        | 0.59  | 1000 | 1.4109          | 0.5793 |
+| 0.3434        | 1.18  | 2000 | 0.3876          | 0.2176 |
+| 0.1679        | 1.77  | 3000 | 0.2262          | 0.1186 |
+| 0.0816        | 2.37  | 4000 | 0.1274          | 0.0634 |
+| 0.0421        | 2.96  | 5000 | 0.0817          | 0.0381 |
+| 0.0067        | 3.55  | 6000 | 0.0520          | 0.0265 |
+| 0.0044        | 4.14  | 7000 | 0.0469          | 0.0215 |
+| 0.0027        | 4.73  | 8000 | 0.0407          | 0.0200 |
 
 
 ### Framework versions