update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: wav2vec2-large-xls-r-300m-dementianet
   results: []
@@ -13,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xls-r-300m-dementianet
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3430
+- Accuracy: 0.4062
 
 ## Model description
 
@@ -39,11 +44,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 22
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3845        | 3.33  | 40   | 1.3556          | 0.3125   |
+| 1.3659        | 6.67  | 80   | 1.3602          | 0.3125   |
+| 1.3619        | 10.0  | 120  | 1.3569          | 0.3125   |
+| 1.3575        | 13.33 | 160  | 1.3509          | 0.3125   |
+| 1.3356        | 16.67 | 200  | 1.3599          | 0.3125   |
+| 1.3166        | 20.0  | 240  | 1.3430          | 0.4062   |
 
 
 ### Framework versions