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: 0.3104
+- Loss: 0.3108
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 11   | 0.3397          |
-| No log        | 2.0   | 22   | 0.3062          |
-| 0.3986        | 3.0   | 33   | 0.3104          |
+| No log        | 1.0   | 11   | 0.3396          |
+| No log        | 2.0   | 22   | 0.3063          |
+| 0.3986        | 3.0   | 33   | 0.3108          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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runs/Feb11_05-33-07_idc-training-gpu-compute-04/events.out.tfevents.1739251987.idc-training-gpu-compute-04.1251550.3

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training_args.bin

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