End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq-1
+base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq.en
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Kabyle_xlsr-finetuned-tamasheq.en
 
-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.
+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: 1.3734
-- Wer: 0.7983
+- Loss: 1.4232
+- Wer: 0.8219
 
 ## Model description
 
@@ -51,12 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.6267        | 7.89  | 300  | 2.8189          | 1.0    |
-| 2.5968        | 15.79 | 600  | 1.4180          | 0.9182 |
-| 0.9228        | 23.68 | 900  | 1.1546          | 0.8575 |
-| 0.5999        | 31.58 | 1200 | 1.1952          | 0.8096 |
-| 0.459         | 39.47 | 1500 | 1.2662          | 0.8068 |
-| 0.3801        | 47.37 | 1800 | 1.3734          | 0.7983 |
+| 5.78          | 7.89  | 300  | 2.8068          | 1.0    |
+| 1.8082        | 15.79 | 600  | 1.2761          | 0.8704 |
+| 0.5823        | 23.68 | 900  | 1.3180          | 0.8575 |
+| 0.4394        | 31.58 | 1200 | 1.3429          | 0.8533 |
+| 0.3509        | 39.47 | 1500 | 1.4232          | 0.8219 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ce48a07473f68b0a16f18e67baf8d731376231d910f0910735e1cfd99c37a47
+oid sha256:c7cb020c2728af57473a4d0353a91edec4b327130e411c379b12e8ccb3eedea1
 size 1262024813