End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 95.7913455838767
+      value: 96.9176052163604
 ---
 
 <!-- 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 [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Yogera data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7897
-- Wer: 95.7913
+- Loss: 1.6289
+- Wer: 96.9176
 
 ## Model description
 
@@ -61,15 +61,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 30
-- training_steps: 100
+- lr_scheduler_warmup_steps: 300
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 2.7092        | 1.0   | 100  | 1.7897          | 95.7913 |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.9225        | 0.5   | 100  | 2.3983          | 126.6153 |
+| 1.8681        | 1.25  | 200  | 1.6289          | 96.9176  |
 
 
 ### Framework versions