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: 0.0515
+- Loss: 0.0597
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
+- lr_scheduler_warmup_steps: 10
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 6    | 0.0557          |
-| No log        | 2.0   | 12   | 0.0472          |
-| No log        | 3.0   | 18   | 0.0515          |
+| No log        | 1.0   | 6    | 0.0471          |
+| No log        | 2.0   | 12   | 0.0582          |
+| No log        | 3.0   | 18   | 0.0597          |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Jan12_20-12-45_idc-training-gpu-compute-29/events.out.tfevents.1736712774.idc-training-gpu-compute-29.67836.1

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training_args.bin

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