End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.1690242779130206
+      value: 0.5176762726262825
 ---
 
 <!-- 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 vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2700
-- Wer: 0.1690
+- Loss: 0.9086
+- Wer: 0.5177
 
 ## Model description
 
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2111        | 2.0   | 292  | 0.9069          | 0.5315 |
-| 0.6195        | 4.0   | 584  | 0.4762          | 0.3436 |
-| 0.4338        | 6.0   | 876  | 0.3627          | 0.2657 |
-| 0.3471        | 8.0   | 1168 | 0.4132          | 0.2817 |
-| 0.2897        | 10.0  | 1460 | 0.3098          | 0.2178 |
-| 0.2471        | 12.0  | 1752 | 0.2761          | 0.1957 |
-| 0.2184        | 14.0  | 2044 | 0.2694          | 0.1807 |
-| 0.1927        | 16.0  | 2336 | 0.2705          | 0.1753 |
-| 0.1754        | 18.0  | 2628 | 0.2692          | 0.1709 |
-| 0.1622        | 20.0  | 2920 | 0.2700          | 0.1690 |
+| 5.7609        | 2.0   | 292  | 3.5829          | 1.0    |
+| 3.2939        | 4.0   | 584  | 2.5400          | 0.9850 |
+| 1.6184        | 6.0   | 876  | 1.2841          | 0.7316 |
+| 1.1576        | 8.0   | 1168 | 1.1273          | 0.6652 |
+| 0.9843        | 10.0  | 1460 | 1.0547          | 0.6139 |
+| 0.885         | 12.0  | 1752 | 0.9854          | 0.5722 |
+| 0.8103        | 14.0  | 2044 | 0.9524          | 0.5594 |
+| 0.7457        | 16.0  | 2336 | 0.9294          | 0.5336 |
+| 0.6929        | 18.0  | 2628 | 0.9186          | 0.5253 |
+| 0.6589        | 20.0  | 2920 | 0.9086          | 0.5177 |
 
 
 ### Framework versions

model.safetensors

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runs/Aug03_04-56-00_75264948f30a/events.out.tfevents.1722661377.75264948f30a.34.0

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runs/Aug03_05-57-06_75264948f30a/events.out.tfevents.1722665062.75264948f30a.34.2

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runs/Aug03_05-57-06_75264948f30a/events.out.tfevents.1722672333.75264948f30a.34.3

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training_args.bin

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 size 5112

vocab.json

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