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: 0.1301
+- Loss: 0.1298
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.4472        | 1.0   | 25   | 0.1430          |
-| 0.1198        | 2.0   | 50   | 0.1253          |
-| 0.0651        | 3.0   | 75   | 0.1301          |
+| 0.4474        | 1.0   | 25   | 0.1420          |
+| 0.12          | 2.0   | 50   | 0.1263          |
+| 0.0655        | 3.0   | 75   | 0.1298          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,8 +26,8 @@
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-    "q_proj"
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   "task_type": null,
   "use_dora": true,

adapter_model.safetensors

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runs/Feb10_19-41-45_idc-training-gpu-compute-03/events.out.tfevents.1739216506.idc-training-gpu-compute-03.368456.4

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training_args.bin

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