End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2567
+- Loss: 0.2568
 
 ## Model description
 
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
 | No log        | 1.0   | 17   | 0.3262          |
-| 0.5357        | 2.0   | 34   | 0.2630          |
-| 0.138         | 3.0   | 51   | 0.2567          |
+| 0.5358        | 2.0   | 34   | 0.2629          |
+| 0.1381        | 3.0   | 51   | 0.2568          |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Feb08_14-01-22_idc-training-gpu-compute-04/events.out.tfevents.1739023282.idc-training-gpu-compute-04.365005.16

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training_args.bin

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