wav2vec2-efeat-300m-norwegian-colab

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.4527950058778223
+      value: 1.4586728282459767
 ---
 
 <!-- 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: 351.0563
-- Wer: 1.4528
+- Loss: 322.6788
+- Wer: 1.4587
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 394.8584      | 2.57  | 400  | 351.0563        | 1.4528 |
+| 324.9835      | 2.57  | 400  | 322.6788        | 1.4587 |
 
 
 ### Framework versions

model.safetensors

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 size 1263414696

runs/Nov22_15-46-04_e3d53f6ffcdd/events.out.tfevents.1700672781.e3d53f6ffcdd.634.3

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