End of training

README.md

@@ -22,8 +22,8 @@ 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 Extracted Youtube with self developed dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3603
-- Wer: 14.3506
+- Loss: 0.3682
+- Wer: 14.6104
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0104        | 5.4054  | 1000 | 0.3021          | 14.8377 |
-| 0.0006        | 10.8108 | 2000 | 0.3320          | 14.3182 |
-| 0.0003        | 16.2162 | 3000 | 0.3496          | 14.0909 |
-| 0.0002        | 21.6216 | 4000 | 0.3569          | 14.3182 |
-| 0.0002        | 27.0270 | 5000 | 0.3603          | 14.3506 |
+| 0.0046        | 5.4054  | 1000 | 0.3295          | 14.9351 |
+| 0.0004        | 10.8108 | 2000 | 0.3417          | 14.3506 |
+| 0.0002        | 16.2162 | 3000 | 0.3556          | 14.7078 |
+| 0.0002        | 21.6216 | 4000 | 0.3643          | 14.6753 |
+| 0.0001        | 27.0270 | 5000 | 0.3682          | 14.6104 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 966995080

runs/May10_01-07-35_0bcad2e4ea49/events.out.tfevents.1746839256.0bcad2e4ea49.787.6

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:990e015f290668c13de0c1e9bb8753ee79fd0c615a02453f7534d39e0331ad11
-size 32968
+oid sha256:9a9821afacb39144cec908a34113384c3e47446a0e08612db8fd664ee0bf334a
+size 50838