End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 33.564735887399245
+      value: 35.00088651273169
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6225
-- Wer: 33.5647
+- Loss: 1.3028
+- Wer: 35.0009
 
 ## Model description
 
@@ -59,16 +59,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 30000
+- training_steps: 500000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
-|:-------------:|:-------:|:-----:|:---------------:|:-------:|
-| 0.0145        | 4.0552  | 10000 | 0.4324          | 35.2682 |
-| 0.0006        | 8.1103  | 20000 | 0.5496          | 33.7229 |
-| 0.0001        | 12.1655 | 30000 | 0.6225          | 33.5647 |
+| Training Loss | Epoch    | Step   | Validation Loss | Wer     |
+|:-------------:|:--------:|:------:|:---------------:|:-------:|
+| 0.0053        | 40.5515  | 100000 | 0.8333          | 36.2993 |
+| 0.0011        | 81.1030  | 200000 | 1.0030          | 35.9242 |
+| 0.0008        | 121.6545 | 300000 | 1.0865          | 35.6501 |
+| 0.0           | 162.2060 | 400000 | 1.1741          | 35.4823 |
+| 0.0           | 202.7575 | 500000 | 1.3028          | 35.0009 |
 
 
 ### Framework versions