End of training

README.md

@@ -11,7 +11,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small fa - ArtificialCoincidence
+- name: Whisper Small fa
   results:
   - task:
       name: Automatic Speech Recognition
@@ -25,18 +25,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 61.15743759799093
+      value: 59.0415273403355
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small fa - ArtificialCoincidence
+# Whisper Small fa
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6260
-- Wer: 61.1574
+- Loss: 0.5556
+- Wer: 59.0415
 
 ## Model description
 
@@ -61,8 +61,8 @@ 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: 500
-- training_steps: 400
+- lr_scheduler_warmup_steps: 600
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
 | 0.9736        | 0.09  | 200  | 1.1516          | 69.9194 |
 | 0.3892        | 0.17  | 400  | 0.6260          | 61.1574 |
+| 0.3177        | 0.26  | 600  | 0.5556          | 59.0415 |
 
 
 ### Framework versions