End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 83.80952380952381
+      value: 45.93572778827977
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kashmiri dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7998
-- Wer: 83.8095
+- Loss: 1.3553
+- Wer: 45.9357
 
 ## Model description
 
@@ -65,13 +65,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0001        | 500.0  | 1000 | 1.7998          | 83.8095  |
-| 0.0001        | 1000.0 | 2000 | 1.9334          | 115.2381 |
-| 0.0           | 1500.0 | 3000 | 2.0746          | 119.0476 |
-| 0.0           | 2000.0 | 4000 | 2.1616          | 118.0952 |
-| 0.0           | 2500.0 | 5000 | 2.2223          | 121.9048 |
+| Training Loss | Epoch    | Step | Validation Loss | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:-------:|
+| 0.0018        | 111.1111 | 1000 | 1.2252          | 47.4480 |
+| 0.0001        | 222.2222 | 2000 | 1.3553          | 45.9357 |
+| 0.0001        | 333.3333 | 3000 | 1.4930          | 47.6371 |
+| 0.0001        | 444.4444 | 4000 | 1.5850          | 48.3932 |
+| 0.0           | 555.5556 | 5000 | 1.6356          | 48.5822 |
 
 
 ### Framework versions

generation_config.json

@@ -1,44 +1,28 @@
 {
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   "begin_suppress_tokens": [
@@ -241,6 +225,8 @@
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model.safetensors

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 version https://git-lfs.github.com/spec/v1
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 size 3055544304

runs/Mar08_11-31-59_ubuntu/events.out.tfevents.1741460776.ubuntu.6360.1

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