End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 45.237494745691464
+      value: 42.30348886086591
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [EYEDOL/Yoruba-ASR2](https://huggingface.co/EYEDOL/Yoruba-ASR2) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9283
-- Wer: 45.2375
+- Loss: 1.0831
+- Wer: 42.3035
 
 ## Model description
 
@@ -62,14 +62,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0057        | 3.8462 | 1000 | 0.9283          | 45.2375 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0001        | 15.3846 | 4000 | 1.0831          | 42.3035 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan15_14-48-53_ccfc678796b4/events.out.tfevents.1736952535.ccfc678796b4.24.0

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training_args.bin

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