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: 0.8080
+- Loss: 0.7976
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.5458        | 0.1471 | 10   | 0.8080          |
+| 0.5473        | 0.1471 | 10   | 0.7976          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,8 +26,8 @@
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   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

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runs/Dec26_10-49-35_gglabs-a6000/events.out.tfevents.1735228176.gglabs-a6000

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training_args.bin

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