End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.7633333333333333
+      value: 0.9521739130434783
 ---
 
 <!-- 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-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0211
-- Wer: 0.7633
+- Loss: 3.9162
+- Wer: 0.9522
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1841        | 100.0 | 1000 | 2.4919          | 0.74   |
-| 0.0295        | 200.0 | 2000 | 3.0211          | 0.7633 |
+| 0.4732        | 100.0 | 1000 | 3.3853          | 1.0217 |
+| 0.0663        | 200.0 | 2000 | 3.9162          | 0.9522 |
 
 
 ### Framework versions