End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 36.36363636363637
+      value: 0.3600944510035419
 ---
 
 <!-- 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: 0.7668
-- Wer Ortho: 35.9655
-- Wer: 36.3636
+- Loss: 0.8044
+- Wer Ortho: 0.3560
+- Wer: 0.3601
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0001        | 428.57 | 500  | 0.7668          | 35.9655   | 36.3636 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.0           | 428.57 | 500  | 0.8044          | 0.3560    | 0.3601 |
 
 
 ### Framework versions
 
 - Transformers 4.33.3
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.6.dev0
+- Datasets 2.14.7.dev0
 - Tokenizers 0.13.3