End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 43.55778449738181
+      value: 34.88457850873958
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5097
-- Wer: 43.5578
-- Cer: 21.6799
+- Loss: 0.3812
+- Wer: 34.8846
+- Cer: 17.4600
 
 ## Model description
 
@@ -61,16 +61,17 @@ 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: 3
-- training_steps: 150
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.5202        | 0.07  | 50   | 0.6086          | 53.0423 | 30.5887 |
-| 0.4887        | 0.15  | 100  | 0.5316          | 45.0254 | 21.4973 |
-| 0.4872        | 0.22  | 150  | 0.5097          | 43.5578 | 21.6799 |
+| 0.3142        | 0.07  | 50   | 0.4591          | 47.0684 | 29.9418 |
+| 0.331         | 0.15  | 100  | 0.4139          | 37.9527 | 19.3123 |
+| 0.3721        | 0.22  | 150  | 0.3897          | 34.8403 | 16.6445 |
+| 0.3802        | 0.3   | 200  | 0.3812          | 34.8846 | 17.4600 |
 
 
 ### Framework versions

runs/Dec16_02-34-26_ba5c921098ca/events.out.tfevents.1702694067.ba5c921098ca.14331.9

@@ -1,3 +1,3 @@
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-size 7191
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+size 8224