End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.404777704047777
+      value: 0.3264957264957265
 ---
 
 <!-- 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: 0.6474
-- Wer Ortho: 40.7305
-- Wer: 0.4048
+- Loss: 0.6807
+- Wer Ortho: 32.4629
+- Wer: 0.3265
 
 ## Model description
 
@@ -60,14 +60,15 @@ 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: 500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
-| 0.0006        | 17.8571 | 500  | 0.6474          | 40.7305   | 0.4048 |
+| 0.0009        | 17.8571 | 500  | 0.6266          | 32.6409   | 0.3282 |
+| 0.0002        | 35.7143 | 1000 | 0.6807          | 32.4629   | 0.3265 |
 
 
 ### Framework versions