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: 0.3952
+- Loss: 0.3446
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 9    | 0.7916          |
-| No log        | 2.0   | 18   | 0.4448          |
-| 0.6884        | 3.0   | 27   | 0.3952          |
+| No log        | 1.0   | 14   | 0.3855          |
+| 0.5862        | 2.0   | 28   | 0.3429          |
+| 0.5862        | 3.0   | 42   | 0.3446          |
 
 
 ### Framework versions

adapter_config.json

@@ -27,7 +27,8 @@
   "revision": null,
   "target_modules": [
     "q_proj",
-    "k_proj"
+    "k_proj",
+    "v_proj"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

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+size 5979104

runs/Jan14_22-10-46_idc-training-gpu-compute-27/events.out.tfevents.1736892646.idc-training-gpu-compute-27.657637.24

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training_args.bin

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