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: 0.1471
+- Loss: 0.1504
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.4836        | 1.0   | 28   | 0.1722          |
-| 0.114         | 2.0   | 56   | 0.1454          |
-| 0.0737        | 3.0   | 84   | 0.1471          |
+| 0.4858        | 1.0   | 28   | 0.1794          |
+| 0.1158        | 2.0   | 56   | 0.1456          |
+| 0.0711        | 3.0   | 84   | 0.1504          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,8 +26,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "q_proj"
+    "q_proj",
+    "k_proj"
   ],
   "task_type": null,
   "use_dora": true,

adapter_model.safetensors

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runs/Feb07_11-56-49_idc-training-gpu-compute-03/events.out.tfevents.1738929410.idc-training-gpu-compute-03.144735.11

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training_args.bin

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