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: 0.2926
+- Loss: 0.3067
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 6    | 0.9408          |
-| No log        | 2.0   | 12   | 0.5335          |
-| No log        | 3.0   | 18   | 0.2926          |
+| No log        | 1.0   | 6    | 0.9443          |
+| No log        | 2.0   | 12   | 0.5996          |
+| No log        | 3.0   | 18   | 0.3067          |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Jan28_20-44-45_idc-training-gpu-compute-29/events.out.tfevents.1738097085.idc-training-gpu-compute-29.3674543.5

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training_args.bin

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