update model card README.md

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7927
+- Loss: 0.7910
 - Wer: 31.4005
 - Cer: 9.9570
 
@@ -38,13 +38,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 2
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 35000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -81,6 +81,11 @@ The following hyperparameters were used during training:
 | 0.2055        | 3.32  | 28000 | 6.8624  | 0.3995          | 18.7612 |
 | 0.175         | 3.44  | 29000 | 6.7727  | 0.4009          | 18.4814 |
 | 0.1701        | 3.56  | 30000 | 7.0136  | 0.3998          | 18.8344 |
+| 0.6832        | 33.81 | 31000 | 0.5425  | 24.6216         | 7.8509  |
+| 0.5676        | 34.9  | 32000 | 0.5141  | 23.6790         | 7.3776  |
+| 0.4863        | 35.99 | 33000 | 0.5003  | 23.0542         | 7.2441  |
+| 0.5007        | 37.08 | 34000 | 0.4948  | 22.9234         | 7.1545  |
+| 0.4519        | 38.17 | 35000 | 0.4922  | 22.8248         | 7.1257  |
 
 
 ### Framework versions