wav2vec2-efeat-300m-norwegian-colab

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.4126231302444363
+      value: 0.8892475937639976
 ---
 
 <!-- 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-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the nb_samtale dataset.
 It achieves the following results on the evaluation set:
-- Loss: 350.1216
-- Wer: 1.4126
+- Loss: inf
+- Wer: 0.8892
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 248.9255      | 2.57  | 400  | 350.1216        | 1.4126 |
+| 9.4759        | 2.57  | 400  | inf             | 0.8892 |
 
 
 ### Framework versions

runs/Nov24_14-14-06_9ac7ad78347e/events.out.tfevents.1700835447.9ac7ad78347e.1998.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6688
+oid sha256:07ad3910098bc2bef80d68843683a8335343e05f3c66700eba62f9a790a1cc1b
+size 7042