update model card README.md

README.md

@@ -2,12 +2,9 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- null
-model_index:
+model-index:
 - name: wav2vec2-base-timit-demo-colab
-  results:
-  - {}
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4634
-- Wer: 0.3469
+- Loss: 0.4798
+- Wer: 0.3474
 
 ## Model description
 
@@ -51,18 +48,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.4469        | 4.0   | 500  | 1.2851          | 0.9547 |
-| 0.616         | 8.0   | 1000 | 0.4867          | 0.4572 |
-| 0.2324        | 12.0  | 1500 | 0.4432          | 0.3814 |
-| 0.1338        | 16.0  | 2000 | 0.4169          | 0.3685 |
-| 0.0893        | 20.0  | 2500 | 0.4634          | 0.3632 |
-| 0.0631        | 24.0  | 3000 | 0.4804          | 0.3541 |
-| 0.0497        | 28.0  | 3500 | 0.4634          | 0.3469 |
+| 3.5229        | 4.0   | 500  | 1.6557          | 1.0422 |
+| 0.6618        | 8.0   | 1000 | 0.4420          | 0.4469 |
+| 0.2211        | 12.0  | 1500 | 0.4705          | 0.4002 |
+| 0.1281        | 16.0  | 2000 | 0.4347          | 0.3688 |
+| 0.0868        | 20.0  | 2500 | 0.4653          | 0.3590 |
+| 0.062         | 24.0  | 3000 | 0.4747          | 0.3519 |
+| 0.0472        | 28.0  | 3500 | 0.4798          | 0.3474 |
 
 
 ### Framework versions
 
-- Transformers 4.9.1
+- Transformers 4.15.0
 - Pytorch 1.9.0+cu102
 - Datasets 1.17.0
 - Tokenizers 0.10.3