End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3806706114398422
+      value: 0.3800131492439185
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9034
-- Wer Ortho: 0.3850
-- Wer: 0.3807
+- Loss: 0.9708
+- Wer Ortho: 0.3830
+- Wer: 0.3800
 
 ## Model description
 
@@ -60,13 +60,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 1000
+- training_steps: 2000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0002        | 35.71 | 1000 | 0.9034          | 0.3850    | 0.3807 |
+| 0.0001        | 71.43 | 2000 | 0.9708          | 0.3830    | 0.3800 |
 
 
 ### Framework versions