End of training

README.md

@@ -15,8 +15,8 @@ model-index:
 - name: Kammi
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: BilalS96/Commonvoice-kazakh
       type: Commonvoice-kazakh
@@ -24,9 +24,9 @@ model-index:
       split: None
       args: 'config: kzk, split: test'
     metrics:
-    - type: wer
+    - name: Wer
+      type: wer
       value: 1.0
-      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,7 +36,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the BilalS96/Commonvoice-kazakh dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2408
+- Loss: 3.2424
 - Wer: 1.0
 
 ## Model description
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 30
 - mixed_precision_training: Native AMP
@@ -69,17 +69,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer |
 |:-------------:|:-------:|:----:|:---------------:|:---:|
-| 3.255         | 4.3860  | 500  | 3.2401          | 1.0 |
-| 3.2362        | 8.7719  | 1000 | 3.2517          | 1.0 |
-| 3.2342        | 13.1579 | 1500 | 3.2470          | 1.0 |
-| 3.2288        | 17.5439 | 2000 | 3.2386          | 1.0 |
-| 3.2227        | 21.9298 | 2500 | 3.2335          | 1.0 |
-| 3.2373        | 26.3158 | 3000 | 3.2408          | 1.0 |
+| 3.7719        | 4.3860  | 500  | 3.2418          | 1.0 |
+| 3.2332        | 8.7719  | 1000 | 3.2473          | 1.0 |
+| 3.2332        | 13.1579 | 1500 | 3.2480          | 1.0 |
+| 3.227         | 17.5439 | 2000 | 3.2337          | 1.0 |
+| 3.2218        | 21.9298 | 2500 | 3.2342          | 1.0 |
+| 3.2361        | 26.3158 | 3000 | 3.2424          | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0