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: 1.4417
-- Wer: 0.8444
+- Loss: 1.3502
+- Wer: 0.8867
 
 ## Model description
 
@@ -51,11 +51,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 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 |
+| 6.9014        | 3.41  | 300  | 2.9702          | 1.0    |
+| 2.922         | 6.82  | 600  | 2.7233          | 1.0    |
+| 2.4143        | 10.23 | 900  | 1.3795          | 0.9122 |
+| 1.6795        | 13.64 | 1200 | 1.3346          | 0.8810 |
+| 1.5           | 17.05 | 1500 | 1.3412          | 0.9207 |
+| 1.4151        | 20.45 | 1800 | 1.3307          | 0.9037 |
+| 1.3298        | 23.86 | 2100 | 1.3467          | 0.8782 |
+| 1.2517        | 27.27 | 2400 | 1.3027          | 0.8768 |
+| 1.2162        | 30.68 | 2700 | 1.3134          | 0.8810 |
+| 1.1987        | 34.09 | 3000 | 1.3336          | 0.8754 |
+| 1.1706        | 37.5  | 3300 | 1.3502          | 0.8867 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:531322e5efe05ea87bf174051833bb21d9e39cd7bb335d222c9a7e80bd2417ac
 size 1262033069