update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 21.475261506718418
+      value: 14.42705294401177
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_12_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4667
-- Wer: 21.4753
+- Loss: 0.2874
+- Wer: 14.4271
 
 ## Model description
 
@@ -55,9 +55,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 1
+- train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
@@ -68,11 +70,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.112         | 0.02  | 200  | 0.7991          | 49.6689 |
-| 1.116         | 0.05  | 400  | 0.7007          | 63.0457 |
-| 1.1079        | 0.07  | 600  | 0.6334          | 34.6170 |
-| 0.9625        | 0.1   | 800  | 0.5313          | 25.3744 |
-| 0.7697        | 0.12  | 1000 | 0.4667          | 21.4753 |
+| 0.6729        | 0.77  | 200  | 0.4170          | 21.8473 |
+| 0.5012        | 1.54  | 400  | 0.3465          | 18.2560 |
+| 0.3832        | 2.31  | 600  | 0.3097          | 16.0971 |
+| 0.2853        | 3.07  | 800  | 0.2970          | 14.3180 |
+| 0.2416        | 3.84  | 1000 | 0.2874          | 14.4271 |
 
 
 ### Framework versions