End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq
+base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq-1
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Kabyle_xlsr-finetuned-tamasheq-1
 
-This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq) on the None dataset.
+This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq-1](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq-1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3077
-- Wer: 0.8414
+- Loss: 1.4590
+- Wer: 0.8584
 
 ## Model description
 
@@ -51,12 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.1717        | 15.79 | 300  | 2.8410          | 1.0    |
-| 2.1673        | 31.58 | 600  | 1.1010          | 0.8612 |
-| 0.7139        | 47.37 | 900  | 1.0831          | 0.8215 |
-| 0.4832        | 63.16 | 1200 | 1.1500          | 0.8187 |
-| 0.37          | 78.95 | 1500 | 1.2485          | 0.8130 |
-| 0.3206        | 94.74 | 1800 | 1.3077          | 0.8414 |
+| 3.4525        | 15.79 | 300  | 1.4650          | 0.9462 |
+| 0.6914        | 31.58 | 600  | 1.2240          | 0.8612 |
+| 0.3942        | 47.37 | 900  | 1.3305          | 0.8159 |
+| 0.354         | 63.16 | 1200 | 1.3404          | 0.8640 |
+| 0.2886        | 78.95 | 1500 | 1.4590          | 0.8584 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:446ec9b7603fad21f43a666392fe605530074ba57f4e9f1fa56e7e38d1b3038b
+oid sha256:02fdbb022eddd60adb57110d3f82b725172c84049e9adc553ba883f780c3ef19
 size 1262020717