End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.4531216738132166
+      value: 0.8855441714268444
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [EYEDOL/english-ASR](https://huggingface.co/EYEDOL/english-ASR) on the misc_naija_english dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0019
-- Wer: 0.4531
+- Loss: 0.0001
+- Wer: 0.8855
 
 ## Model description
 
@@ -60,14 +60,14 @@ 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: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.0023        | 2.9762 | 1000 | 0.0019          | 0.4531 |
+| 0.0001        | 8.9286 | 3000 | 0.0001          | 0.8855 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan15_14-06-10_346cd3ba3132/events.out.tfevents.1736949974.346cd3ba3132.21.0

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training_args.bin

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