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: 0.1173
+- Loss: 0.1307
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.053         | 1.0   | 40   | 0.1124          |
-| 0.0331        | 2.0   | 80   | 0.1296          |
-| 0.0155        | 3.0   | 120  | 0.1173          |
+| 0.053         | 1.0   | 40   | 0.1116          |
+| 0.0305        | 2.0   | 80   | 0.1275          |
+| 0.019         | 3.0   | 120  | 0.1307          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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runs/Jan12_12-38-16_idc-training-gpu-compute-28/events.out.tfevents.1736685497.idc-training-gpu-compute-28.2363315.0

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training_args.bin

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