update model card README.md

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6170
-- Wer Ortho: 49.3952
-- Wer: 46.8847
+- Loss: 0.6586
+- Wer Ortho: 52.0665
+- Wer: 49.1825
 
 ## Model description
 
@@ -49,21 +49,24 @@ 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_steps: 50
-- training_steps: 10000
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.6179        | 0.03  | 1000 | 0.9762          | 62.0464   | 60.3624 |
-| 0.505         | 0.07  | 2000 | 0.8327          | 57.7117   | 54.8387 |
-| 0.4921        | 0.1   | 3000 | 0.7555          | 63.5585   | 59.6111 |
-| 0.576         | 0.13  | 4000 | 0.7034          | 58.9214   | 57.6226 |
-| 0.4169        | 0.17  | 5000 | 0.6763          | 46.5726   | 44.5426 |
-| 0.3827        | 0.2   | 6000 | 0.6462          | 47.0766   | 44.9403 |
-| 0.3509        | 0.23  | 7000 | 0.6331          | 48.8407   | 46.4870 |
-| 0.4012        | 0.26  | 8000 | 0.6170          | 49.3952   | 46.8847 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer     | Wer Ortho |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|
+| 0.6179        | 0.03  | 1000  | 0.9762          | 60.3624 | 62.0464   |
+| 0.505         | 0.07  | 2000  | 0.8327          | 54.8387 | 57.7117   |
+| 0.4921        | 0.1   | 3000  | 0.7555          | 59.6111 | 63.5585   |
+| 0.576         | 0.13  | 4000  | 0.7034          | 57.6226 | 58.9214   |
+| 0.4169        | 0.17  | 5000  | 0.6763          | 44.5426 | 46.5726   |
+| 0.3827        | 0.2   | 6000  | 0.6462          | 44.9403 | 47.0766   |
+| 0.3509        | 0.23  | 7000  | 0.6331          | 46.4870 | 48.8407   |
+| 0.4012        | 0.26  | 8000  | 0.6170          | 46.8847 | 49.3952   |
+| 0.3634        | 0.3   | 9000  | 0.6864          | 47.4294 | 45.3822   |
+| 0.3721        | 0.33  | 10000 | 0.6659          | 49.2944 | 46.4870   |
+| 0.3198        | 0.36  | 11000 | 0.6586          | 52.0665 | 49.1825   |
 
 
 ### Framework versions