End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 10.468362043705566
+      value: 10.37120429344725
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [SadeghK/whisper-base](https://huggingface.co/SadeghK/whisper-base) on the Common Voice 20.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0809
-- Wer: 10.4684
+- Loss: 0.0813
+- Wer: 10.3712
 
 ## Model description
 
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 40000
+- training_steps: 50000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -107,6 +107,16 @@ The following hyperparameters were used during training:
 | 0.043         | 1.8734 | 38000 | 0.0815          | 10.4838 |
 | 0.0434        | 1.9227 | 39000 | 0.0812          | 10.5038 |
 | 0.0382        | 1.9720 | 40000 | 0.0809          | 10.4684 |
+| 0.0342        | 2.0213 | 41000 | 0.0833          | 10.4853 |
+| 0.0249        | 2.0706 | 42000 | 0.0841          | 10.7783 |
+| 0.0237        | 2.1199 | 43000 | 0.0835          | 10.5100 |
+| 0.0282        | 2.1692 | 44000 | 0.0835          | 10.5563 |
+| 0.0277        | 2.2185 | 45000 | 0.0830          | 10.7151 |
+| 0.0328        | 2.2678 | 46000 | 0.0824          | 10.3959 |
+| 0.0268        | 2.3171 | 47000 | 0.0822          | 10.4560 |
+| 0.0395        | 2.3664 | 48000 | 0.0817          | 10.3311 |
+| 0.0298        | 2.4157 | 49000 | 0.0815          | 10.4128 |
+| 0.029         | 2.4650 | 50000 | 0.0813          | 10.3712 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3ea2becb06ced0384aed29ee9cda58bd01a182f710af27523e2c10365d32ab2
+oid sha256:7f9c450c4bd4a33802a67295b3130ada42a30f407eeae1793d9f4933363aaeae
 size 290403936