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: 0.3331
+- Loss: 0.3314
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 14   | 0.3608          |
-| 0.4716        | 2.0   | 28   | 0.3414          |
-| 0.4716        | 3.0   | 42   | 0.3331          |
+| No log        | 1.0   | 14   | 0.3607          |
+| 0.4715        | 2.0   | 28   | 0.3427          |
+| 0.4715        | 3.0   | 42   | 0.3314          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,9 +26,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "c_attn",
     "k_proj",
-    "v_proj",
-    "c_attn"
+    "v_proj"
   ],
   "task_type": null,
   "use_dora": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bbd7f38bafde3ff37ef53da0981e6ead6e0856fdb21eb269446b3bf755ff209c
+oid sha256:194c1d3ed6513ec744755c1847921378d6992c8ee88a11615119cebc9b163423
 size 252726072

runs/Jan29_07-04-13_idc-training-gpu-compute-29/events.out.tfevents.1738134253.idc-training-gpu-compute-29.3742923.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64dfe9b54fa4da3926c92cb05588064dc6d0b4f755daeac8cddcfe1d5151773f
+size 7439

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f535ab11313956e17dc10e79f8a1c38aeff5081036408a89d88bcb9adb80842f
+oid sha256:20a9d6e9e6626c60a0e0ef8ccb30c6c7573ffc9cb1ae705503e37a8507857b5c
 size 5624