End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 45.03507032426279
+      value: 44.396092688480046
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ 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: 0.3398
-- Wer: 45.0351
+- Loss: 0.3517
+- Wer: 44.3961
 
 ## Model description
 
@@ -62,7 +62,7 @@ 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
@@ -73,6 +73,10 @@ The following hyperparameters were used during training:
 | 0.2452        | 0.8237 | 2000 | 0.3639          | 46.1863 |
 | 0.1613        | 1.2356 | 3000 | 0.3470          | 44.9194 |
 | 0.1382        | 1.6474 | 4000 | 0.3398          | 45.0351 |
+| 0.1177        | 2.0593 | 5000 | 0.3502          | 44.5154 |
+| 0.1206        | 2.4712 | 6000 | 0.3501          | 44.9781 |
+| 0.1216        | 2.8830 | 7000 | 0.3423          | 43.5258 |
+| 0.072         | 3.2949 | 8000 | 0.3517          | 44.3961 |
 
 
 ### Framework versions

model.safetensors

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 size 966995080

runs/Oct07_05-12-14_8d8a2390d628/events.out.tfevents.1728278046.8d8a2390d628.4720.1

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