End of training

README.md

@@ -20,8 +20,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Abhinav28/whisper-large-v3-hindi-100steps
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 11.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4629
 
 ## Model description
 
@@ -54,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6243        | 0.77  | 10   | 0.4629          |
+| No log        | 0.77  | 10   | 0.4666          |
 
 
 ### Framework versions

adapter_config.json

@@ -22,8 +22,8 @@
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-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": null,
   "use_rslora": false

adapter_model.safetensors

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training_args.bin

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