update model card README.md

README.md

@@ -1,7 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 metrics:
 - wer
@@ -17,8 +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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2063
-- Wer: 10.7593
+- Loss: 0.1906
+- Wer: 9.5417
 
 ## Model description
 
@@ -38,7 +37,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
+- train_batch_size: 128
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -51,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2059        | 0.17  | 1000 | 0.3094          | 17.6595 |
-| 0.1468        | 0.33  | 2000 | 0.2453          | 13.1260 |
-| 0.1177        | 0.5   | 3000 | 0.2260          | 11.9520 |
-| 0.114         | 0.66  | 4000 | 0.2111          | 10.9092 |
-| 0.0998        | 0.83  | 5000 | 0.2063          | 10.7593 |
+| 0.17          | 0.33  | 1000 | 0.2697          | 15.6613 |
+| 0.1163        | 0.66  | 2000 | 0.2198          | 11.7272 |
+| 0.0966        | 0.99  | 3000 | 0.2009          | 10.2785 |
+| 0.073         | 1.32  | 4000 | 0.1945          | 9.8476  |
+| 0.0666        | 1.65  | 5000 | 0.1906          | 9.5417  |
 
 
 ### Framework versions