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: 0.4452
+- Loss: 0.2934
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 9    | 0.8621          |
-| No log        | 2.0   | 18   | 0.4885          |
-| 0.747         | 3.0   | 27   | 0.4452          |
+| No log        | 1.0   | 9    | 0.7638          |
+| No log        | 2.0   | 18   | 0.3062          |
+| 0.5489        | 3.0   | 27   | 0.2934          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,6 +26,7 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "v_proj",
     "k_proj"
   ],
   "task_type": null,

adapter_model.safetensors

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+size 3986008

runs/Jan14_21-39-14_idc-training-gpu-compute-27/events.out.tfevents.1736890755.idc-training-gpu-compute-27.657637.16

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training_args.bin

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