update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the librispeech_asr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.5019
-- Wer: 1.5265
+- Loss: 6.8224
+- Wer: 0.9494
 
 ## Model description
 
@@ -39,8 +39,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- gradient_accumulation_steps: 4
+- 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: 500
@@ -51,9 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.7441        | 0.28  | 500  | 6.9081          | 0.9404 |
-| 6.7273        | 0.56  | 1000 | 6.7867          | 1.9963 |
-| 5.6598        | 0.84  | 1500 | 5.5019          | 1.5265 |
+| 6.4267        | 0.56  | 500  | 6.8224          | 0.9494 |
 
 
 ### Framework versions