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: 0.3776
-- Wer: 20.8004
+- Loss: 0.4485
+- Wer: 20.6842
 
 ## Model description
 
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 - 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: 25000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -65,6 +65,16 @@ The following hyperparameters were used during training:
 | 0.2471        | 1.69  | 13000 | 0.4259          | 22.8940 |
 | 0.2357        | 1.82  | 14000 | 0.3936          | 21.6018 |
 | 0.2292        | 1.95  | 15000 | 0.3776          | 20.8004 |
+| 0.1493        | 2.08  | 16000 | 0.4599          | 24.0491 |
+| 0.1708        | 2.21  | 17000 | 0.4370          | 23.3443 |
+| 0.1385        | 2.34  | 18000 | 0.4277          | 22.3171 |
+| 0.1288        | 2.47  | 19000 | 0.4050          | 21.0118 |
+| 0.1627        | 2.6   | 20000 | 0.4507          | 23.4004 |
+| 0.1675        | 2.73  | 21000 | 0.4346          | 22.8261 |
+| 0.159         | 2.86  | 22000 | 0.4179          | 22.2949 |
+| 0.1458        | 2.99  | 23000 | 0.3978          | 21.0810 |
+| 0.0487        | 3.12  | 24000 | 0.4456          | 20.8617 |
+| 0.0401        | 3.25  | 25000 | 0.4485          | 20.6842 |
 
 
 ### Framework versions