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: 0.2802
+- Loss: 0.2808
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 9    | 0.4872          |
-| No log        | 2.0   | 18   | 0.2768          |
-| 0.4068        | 3.0   | 27   | 0.2802          |
+| No log        | 1.0   | 9    | 0.4861          |
+| No log        | 2.0   | 18   | 0.2769          |
+| 0.4078        | 3.0   | 27   | 0.2808          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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runs/Jan29_09-18-44_idc-training-gpu-compute-28/events.out.tfevents.1738142324.idc-training-gpu-compute-28.2608008.3

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training_args.bin

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