update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3951
-- Wer: 19.9165
+- Loss: 0.3901
+- Wer: 20.1074
 
 ## Model description
 
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.8628        | 2.08  | 100  | 1.5674          | 43.7709 |
-| 1.2263        | 4.17  | 200  | 0.8646          | 92.1838 |
-| 0.6358        | 6.25  | 300  | 0.6243          | 85.3580 |
-| 0.4969        | 8.33  | 400  | 0.5477          | 92.8998 |
-| 0.3972        | 10.42 | 500  | 0.4908          | 55.3938 |
-| 0.318         | 12.5  | 600  | 0.4504          | 30.9785 |
-| 0.2689        | 14.58 | 700  | 0.4256          | 24.1289 |
-| 0.2193        | 16.67 | 800  | 0.4094          | 20.2387 |
-| 0.2067        | 18.75 | 900  | 0.3988          | 19.8926 |
-| 0.1861        | 20.83 | 1000 | 0.3951          | 19.9165 |
+| 1.8697        | 2.08  | 100  | 1.5724          | 43.7232 |
+| 1.2267        | 4.17  | 200  | 0.8637          | 90.9905 |
+| 0.6451        | 6.25  | 300  | 0.6205          | 85.8473 |
+| 0.4958        | 8.33  | 400  | 0.5447          | 93.4368 |
+| 0.4053        | 10.42 | 500  | 0.4883          | 52.0644 |
+| 0.3149        | 12.5  | 600  | 0.4480          | 32.4821 |
+| 0.2608        | 14.58 | 700  | 0.4218          | 24.0334 |
+| 0.2245        | 16.67 | 800  | 0.4045          | 22.0764 |
+| 0.2038        | 18.75 | 900  | 0.3937          | 19.5227 |
+| 0.183         | 20.83 | 1000 | 0.3901          | 20.1074 |
 
 
 ### Framework versions
 
-- Transformers 4.29.0.dev0
+- Transformers 4.28.0
 - Pytorch 2.0.0+cu118
 - Datasets 2.11.0
 - Tokenizers 0.13.3