End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3665879574970484
+      value: 0.3724911452184179
 ---
 
 <!-- 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: 0.8624
-- Wer Ortho: 0.3658
-- Wer: 0.3666
+- Loss: 0.8908
+- Wer Ortho: 0.3701
+- Wer: 0.3725
 
 ## Model description
 
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0001        | 17.24 | 500  | 0.8624          | 0.3658    | 0.3666 |
+| 0.0           | 17.24 | 500  | 0.8908          | 0.3701    | 0.3725 |
 
 
 ### Framework versions