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: 0.2843
+- Loss: 0.3095
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 9    | 0.5164          |
-| No log        | 2.0   | 18   | 0.2789          |
-| 0.4047        | 3.0   | 27   | 0.2843          |
+| No log        | 1.0   | 9    | 0.5778          |
+| No log        | 2.0   | 18   | 0.3251          |
+| 0.4087        | 3.0   | 27   | 0.3095          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2374776916bf10567402fbf69220708c513c8883b040132b68e8e382f6286160
+oid sha256:3a015ae559619b9b4835cb63c55070371481d83e9d9cc7df2f7cc68241707e3c
 size 8929448

runs/Jan28_21-38-47_idc-training-gpu-compute-29/events.out.tfevents.1738100328.idc-training-gpu-compute-29.3688012.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5bba5f2d91e448066ed61baef7999fb9f2e2dc81e90d8c69a68adce244a5b0c
+size 7430

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d443b0b3a062c96b0e743fede1f4f1948415db6e531655966a570d139b0b4192
+oid sha256:957a251879223637d086cf7e1afbe09bafb02334e94f826a2259916fe7cdd665
 size 5624