update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.689873417721519
+      value: 0.6465189873417722
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1224
-- Wer: 0.6899
+- Loss: 1.7535
+- Wer: 0.6465
 
 ## Model description
 
@@ -61,7 +61,7 @@ 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
-- num_epochs: 30
+- num_epochs: 90
 
 ### Training results
 
@@ -72,6 +72,18 @@ The following hyperparameters were used during training:
 | 1.7606        | 15.58 | 600  | 1.1942          | 0.8532 |
 | 1.0549        | 20.78 | 800  | 1.1132          | 0.7788 |
 | 0.7553        | 25.97 | 1000 | 1.1224          | 0.6899 |
+| 0.6639        | 31.51 | 1200 | 1.2641          | 0.7082 |
+| 0.5344        | 36.7  | 1400 | 1.3247          | 0.6835 |
+| 0.4527        | 41.9  | 1600 | 1.3915          | 0.7022 |
+| 0.3839        | 47.09 | 1800 | 1.4051          | 0.6791 |
+| 0.3065        | 52.29 | 2000 | 1.3899          | 0.6706 |
+| 0.2714        | 57.48 | 2200 | 1.5455          | 0.6573 |
+| 0.2437        | 62.68 | 2400 | 1.6798          | 0.6601 |
+| 0.2103        | 67.87 | 2600 | 1.7406          | 0.6674 |
+| 0.1899        | 73.06 | 2800 | 1.7625          | 0.6522 |
+| 0.1841        | 78.26 | 3000 | 1.7443          | 0.6535 |
+| 0.1544        | 83.45 | 3200 | 1.7405          | 0.6465 |
+| 0.1461        | 88.65 | 3400 | 1.7535          | 0.6465 |
 
 
 ### Framework versions