wav2vec2-efeat-300m-norwegian-colab

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8892475937639976
+      value: 1.0
 ---
 
 <!-- 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: inf
-- Wer: 0.8892
+- Loss: nan
+- Wer: 1.0
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 9.4759        | 2.57  | 400  | inf             | 0.8892 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 123.8826      | 2.57  | 400  | nan             | 1.0 |
 
 
 ### Framework versions

runs/Nov24_16-44-57_1c802f6301f7/events.out.tfevents.1700845936.1c802f6301f7.3775.1

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