update model card README.md

README.md

@@ -15,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-gn-demo
 
 This model is a fine-tuned version of [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6992
-- Wer: 0.7439
 
 ## Model description
 
@@ -36,7 +33,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -46,19 +43,6 @@ The following hyperparameters were used during training:
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 4.0   | 100  | 2.4470          | 1.0015 |
-| No log        | 8.0   | 200  | 0.9011          | 0.8720 |
-| No log        | 12.0  | 300  | 0.8527          | 0.9177 |
-| No log        | 16.0  | 400  | 0.7743          | 0.7988 |
-| 1.0068        | 20.0  | 500  | 0.7984          | 0.8049 |
-| 1.0068        | 24.0  | 600  | 0.7133          | 0.7530 |
-| 1.0068        | 28.0  | 700  | 0.6992          | 0.7439 |
-
-
 ### Framework versions
 
 - Transformers 4.11.3