End of training

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: 'Whisper Small hindi '
+- name: 'Whisper Small hindi1 '
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,18 +24,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 44.51371571072319
+      value: 44.472152950955945
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small hindi 
+# Whisper Small hindi1 
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4853
-- Wer: 44.5137
+- Loss: 0.4868
+- Wer: 44.4722
 
 ## Model description
 
@@ -70,8 +70,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1443        | 2.2936 | 500  | 0.4601          | 47.4231 |
-| 0.0141        | 4.5872 | 1000 | 0.4853          | 44.5137 |
+| 0.1451        | 2.2936 | 500  | 0.4586          | 47.5686 |
+| 0.0127        | 4.5872 | 1000 | 0.4868          | 44.4722 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 966995080

runs/Jul09_12-29-52_3cbb8264915e/events.out.tfevents.1720528240.3cbb8264915e.269.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11133
+oid sha256:f6143a58ad6997fd2eb67dbecbaba18ef6d45d98d0bbceba5126ca01bcec905f
+size 16025