End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.03710083476878
+      value: 34.21226977606996
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2819
-- Wer: 35.0371
+- Loss: 0.3857
+- Wer: 34.2123
 
 ## Model description
 
@@ -61,17 +61,21 @@ 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: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2199        | 1.2330 | 1000 | 0.2462          | 41.7749 |
-| 0.0974        | 2.4661 | 2000 | 0.2347          | 37.3658 |
-| 0.033         | 3.6991 | 3000 | 0.2522          | 35.7195 |
-| 0.0088        | 4.9322 | 4000 | 0.2819          | 35.0371 |
+| 0.4593        | 1.2330 | 1000 | 0.2504          | 42.2983 |
+| 0.1318        | 2.4661 | 2000 | 0.2344          | 37.8429 |
+| 0.0625        | 3.6991 | 3000 | 0.2582          | 35.9282 |
+| 0.0274        | 4.9322 | 4000 | 0.2927          | 36.6139 |
+| 0.009         | 6.1652 | 5000 | 0.3429          | 35.1365 |
+| 0.0029        | 7.3983 | 6000 | 0.3625          | 34.7588 |
+| 0.0008        | 8.6313 | 7000 | 0.3815          | 34.4740 |
+| 0.0003        | 9.8644 | 8000 | 0.3857          | 34.2123 |
 
 
 ### Framework versions