End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 16.853932584269664
+      value: 15.730337078651685
 ---
 
 <!-- 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 arrow dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7659
-- Wer: 16.8539
+- Loss: 0.7367
+- Wer: 15.7303
 
 ## Model description
 
@@ -69,15 +69,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.515         | 10.0  | 50   | 1.0232          | 16.8539 |
-| 0.1717        | 20.0  | 100  | 0.7364          | 19.1011 |
-| 0.0006        | 30.0  | 150  | 0.7300          | 15.7303 |
-| 0.0003        | 40.0  | 200  | 0.7659          | 16.8539 |
+| 0.5156        | 10.0  | 50   | 1.0266          | 19.1011 |
+| 0.171         | 20.0  | 100  | 0.7371          | 16.8539 |
+| 0.0018        | 30.0  | 150  | 0.6975          | 15.7303 |
+| 0.0004        | 40.0  | 200  | 0.7367          | 15.7303 |
 
 
 ### Framework versions
 
 - Transformers 4.42.0.dev0
-- Pytorch 2.2.0+cu121
+- Pytorch 2.0.0
 - Datasets 2.16.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d3457e7c00ee83802c26377b86c5595bdd4f30d56c50d87480dd97b91fa4df2f
+oid sha256:945dcbe83eb7aa73ac281c9e15d47635ac45fce5da42e81e8e1f31a70e66fdef
 size 966995080