update model card README.md

README.md

@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2658
-- Wer: 0.6967
-- Cer: 0.2446
+- Loss: 1.4313
+- Wer: 0.6723
+- Cer: 0.2408
 
 ## Model description
 
@@ -38,8 +38,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 1
 - eval_batch_size: 1
 - seed: 42
-- gradient_accumulation_steps: 24
-- total_train_batch_size: 24
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 10
@@ -47,18 +47,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Cer    | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:------:|:---------------:|:------:|
-| 0.1282        | 1.0   | 458  | 0.2593 | 1.2547          | 0.7489 |
-| 0.1136        | 2.0   | 916  | 0.2590 | 1.2532          | 0.7447 |
-| 0.0894        | 3.0   | 1374 | 0.2492 | 1.2209          | 0.7119 |
-| 0.0939        | 4.0   | 1832 | 0.2487 | 1.2350          | 0.7082 |
-| 0.0647        | 5.0   | 2290 | 0.2503 | 1.2638          | 0.7106 |
-| 0.0586        | 6.0   | 2748 | 0.2433 | 1.2241          | 0.7021 |
-| 0.051         | 7.0   | 3206 | 0.2426 | 1.2803          | 0.6967 |
-| 0.0463        | 8.0   | 3664 | 0.2467 | 1.2706          | 0.6997 |
-| 0.0493        | 9.0   | 4122 | 0.2456 | 1.2693          | 0.7009 |
-| 0.0601        | 10.0  | 4580 | 1.2658 | 0.6967          | 0.2446 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.0857        | 1.0   | 687  | 1.3883          | 0.7082 | 0.2576 |
+| 0.0627        | 2.0   | 1374 | 1.4099          | 0.7076 | 0.2561 |
+| 0.0697        | 3.0   | 2061 | 1.3864          | 0.6906 | 0.2486 |
+| 0.0575        | 4.0   | 2748 | 1.4356          | 0.6906 | 0.2455 |
+| 0.0552        | 5.0   | 3435 | 1.4061          | 0.6778 | 0.2440 |
+| 0.0631        | 6.0   | 4122 | 1.4541          | 0.6839 | 0.2444 |
+| 0.0418        | 7.0   | 4809 | 1.4258          | 0.6930 | 0.2465 |
+| 0.0407        | 8.0   | 5496 | 1.4193          | 0.6809 | 0.2451 |
+| 0.0487        | 9.0   | 6183 | 1.4261          | 0.6778 | 0.2424 |
+| 0.0371        | 10.0  | 6870 | 1.4313          | 0.6723 | 0.2408 |
 
 
 ### Framework versions