End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq.en](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq.en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5106
-- Wer: 0.8739
+- Loss: 1.4417
+- Wer: 0.8444
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.637         | 3.41  | 300  | 1.9770          | 1.0348 |
-| 1.1027        | 6.82  | 600  | 1.3353          | 0.8913 |
-| 0.7367        | 10.23 | 900  | 1.4064          | 0.8855 |
-| 0.6037        | 13.64 | 1200 | 1.3830          | 0.8768 |
-| 0.529         | 17.05 | 1500 | 1.5106          | 0.8739 |
+| 6.087         | 3.41  | 300  | 2.8648          | 1.0    |
+| 2.3631        | 6.82  | 600  | 1.3254          | 0.8705 |
+| 1.0058        | 10.23 | 900  | 1.3736          | 0.8829 |
+| 0.7859        | 13.64 | 1200 | 1.3322          | 0.8733 |
+| 0.6834        | 17.05 | 1500 | 1.4417          | 0.8444 |
 
 
 ### Framework versions
 
-- Transformers 4.32.1
+- Transformers 4.33.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae02a588527188719d6e4f71a1f730435ff74a7be80ddcab49a8e96f89aa52a6
+oid sha256:3b126ad797b0635deb678753911532f0d4779b545d8b03f6b8b8a5aa01c82dbf
 size 1262024813