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: 0.6198
-- Wer: 79.5402
+- Loss: 0.3509
+- Wer: 69.8851
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 4
+- train_batch_size: 12
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -50,15 +50,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0341        | 5.88  | 1000 | 0.4381          | 82.9885 |
-| 0.0022        | 11.76 | 2000 | 0.5611          | 80.4598 |
-| 0.0004        | 17.65 | 3000 | 0.6165          | 80.4598 |
-| 0.0           | 23.53 | 4000 | 0.6198          | 79.5402 |
+| 0.0805        | 1.88  | 1000 | 0.2634          | 74.4828 |
+| 0.0242        | 3.77  | 2000 | 0.2649          | 73.1034 |
+| 0.0068        | 5.65  | 3000 | 0.3314          | 72.4138 |
+| 0.0005        | 7.53  | 4000 | 0.3509          | 69.8851 |
 
 
 ### Framework versions
 
 - Transformers 4.26.0.dev0
 - Pytorch 1.13.0+cu116
-- Datasets 2.7.1
+- Datasets 2.8.0
 - Tokenizers 0.13.2