End of training

README.md

@@ -8,18 +8,18 @@ tags:
 metrics:
 - wer
 model-index:
-- name: Whisper Small ar dataset correcte + faux
+- name: Whisper Small ar dataset correcte faux
   results: []
 ---
 
 <!-- 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 ar dataset correcte + faux
+# Whisper Small ar dataset correcte faux
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1514
+- Loss: 0.1703
 - Wer: 15.7407
 
 ## Model description
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0009        | 37.0370 | 1000 | 0.1514          | 15.7407 |
+| 0.0008        | 37.0370 | 1000 | 0.1703          | 15.7407 |
 
 
 ### Framework versions

runs/May30_07-00-50_eea03f27744f/events.out.tfevents.1717052501.eea03f27744f.1267.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f31e28a78f6db0122d60cdfdc454f1d9009a3019c38ba7ff6635e323f5343f1f
-size 15320
+oid sha256:180b7961914067cb800a41b75e8c303c18d15ec0753bee2a11ba4705a7ed753d
+size 15674