End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.557081208316987
+      value: 0.5566888976069047
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2359
-- Wer: 0.5571
+- Loss: 1.1679
+- Wer: 0.5567
 
 ## Model description
 
@@ -169,11 +169,14 @@ The following hyperparameters were used during training:
 | 0.0953        | 24.4229 | 20200 | 1.2250          | 0.5587 |
 | 0.0981        | 24.6645 | 20400 | 1.2353          | 0.5543 |
 | 0.0973        | 24.9062 | 20600 | 1.2359          | 0.5571 |
+| 0.11          | 24.4417 | 20800 | 1.2127          | 0.5620 |
+| 0.1119        | 24.6766 | 21000 | 1.1876          | 0.5571 |
+| 0.1053        | 24.9115 | 21200 | 1.1679          | 0.5567 |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
 - Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a91b4cd48c5f4847f9c94b039260bce7638728b067e15e2d0eabd0c68651cc49
+oid sha256:e22829ae550a6409803a4ced6c5840ad95d2fd699ac0a5450528361c6ede336e
 size 1262180580