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: 0.1641
+- Loss: 0.0956
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 17   | 0.1157          |
-| 0.0185        | 2.0   | 34   | 0.1334          |
-| 0.0058        | 3.0   | 51   | 0.1641          |
+| 0.023         | 1.0   | 50   | 0.1087          |
+| 0.0367        | 2.0   | 100  | 0.1177          |
+| 0.0121        | 3.0   | 150  | 0.0956          |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Jan10_20-53-31_idc-training-gpu-compute-30/events.out.tfevents.1736542411.idc-training-gpu-compute-30.3185789.0

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runs/Jan10_20-58-01_idc-training-gpu-compute-30/events.out.tfevents.1736542682.idc-training-gpu-compute-30.3187052.0

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training_args.bin

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