nomnoos37/stt-turbo-1226-v1.1

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8047
+- Loss: 0.8169
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.5465        | 0.1471 | 10   | 0.8047          |
+| 0.5463        | 0.1471 | 10   | 0.8169          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 26237160

runs/Dec26_10-36-26_gglabs-a6000/events.out.tfevents.1735227386.gglabs-a6000

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training_args.bin

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