End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.666207213416035
+      value: 0.6648326455754241
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the main1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0000
-- Wer: 0.6662
+- Wer: 0.6648
 
 ## Model description
 
@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.0187        | 6.6689  | 1000 | 0.0228          | 9.1201 |
-| 0.0016        | 13.3344 | 2000 | 0.0026          | 1.4932 |
-| 0.0001        | 20.0    | 3000 | 0.0004          | 0.7351 |
-| 0.0           | 26.6689 | 4000 | 0.0001          | 0.6662 |
-| 0.0           | 33.3344 | 5000 | 0.0000          | 0.6662 |
+| 0.0055        | 6.6225  | 1000 | 0.0060          | 2.8886 |
+| 0.0009        | 13.2450 | 2000 | 0.0037          | 1.5589 |
+| 0.0003        | 19.8675 | 3000 | 0.0002          | 0.6878 |
+| 0.0           | 26.4901 | 4000 | 0.0000          | 0.6648 |
+| 0.0           | 33.1126 | 5000 | 0.0000          | 0.6648 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c5f6411161cb160be012394077775aa500c8013c725eb8f999cd6fda291b7512
+oid sha256:ab3d2d11ca71e2afa322d1e6badce91d9c5307241693c3574349790ce28437d2
 size 966995080