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: 0.2911
+- Loss: 0.2926
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 6    | 0.9519          |
-| No log        | 2.0   | 12   | 0.5017          |
-| No log        | 3.0   | 18   | 0.2911          |
+| No log        | 1.0   | 6    | 0.9408          |
+| No log        | 2.0   | 12   | 0.5335          |
+| No log        | 3.0   | 18   | 0.2926          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a899b5782c7b77b8bc25777ea5770075c7603624870fba02828d45a349946fd
+oid sha256:6ebae9e58e6b3e2a39f78f45a1e4222025c50349c0df56aabb8af57b7ed93d7b
 size 3030912

runs/Jan28_20-33-29_idc-training-gpu-compute-29/events.out.tfevents.1738096410.idc-training-gpu-compute-29.3674543.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1e4ab54d7a893fee72d70139ce6773fff19c6e1873dcce0e3283a5fd3176485
+size 7223

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb1fef39b7a6d5885ea35cae5fdcfd4aa08a6826755997f58c0f06acd7d2b64a
+oid sha256:5d4b8924867e14690b8cbf258e0f05046d4ca2c472b24c5643d4a50425983b2b
 size 5624