update model card README.md

README.md

@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4056
-- Wer: 0.5800
-- Cer: 0.2434
+- Loss: 2.5098
+- Wer: 0.5366
+- Cer: 0.2277
 
 ## Model description
 
@@ -51,18 +51,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 1.0772        | 4.17  | 400  | 1.8505          | 0.6597 | 0.2778 |
-| 0.5563        | 8.33  | 800  | 1.9481          | 0.6481 | 0.2663 |
-| 0.4008        | 12.5  | 1200 | 2.2166          | 0.6589 | 0.2767 |
-| 0.285         | 16.67 | 1600 | 2.0445          | 0.6128 | 0.2535 |
-| 0.2171        | 20.83 | 2000 | 2.2138          | 0.5943 | 0.2509 |
-| 0.1611        | 25.0  | 2400 | 2.2532          | 0.5813 | 0.2455 |
-| 0.1098        | 29.17 | 2800 | 2.4056          | 0.5800 | 0.2434 |
+| 1.0449        | 3.49  | 400  | 1.7576          | 0.6270 | 0.2607 |
+| 0.484         | 6.99  | 800  | 1.8072          | 0.6043 | 0.2536 |
+| 0.3335        | 10.48 | 1200 | 2.0222          | 0.5892 | 0.2500 |
+| 0.2559        | 13.97 | 1600 | 2.4174          | 0.5719 | 0.2448 |
+| 0.1999        | 17.47 | 2000 | 2.2888          | 0.5566 | 0.2376 |
+| 0.1546        | 20.96 | 2400 | 2.5271          | 0.5753 | 0.2400 |
+| 0.1225        | 24.45 | 2800 | 2.4489          | 0.5427 | 0.2327 |
+| 0.0983        | 27.95 | 3200 | 2.5098          | 0.5366 | 0.2277 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu117
-- Datasets 1.18.3
+- Datasets 2.14.4
 - Tokenizers 0.13.3