End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 39.964580873671785
+      value: 34.238488783943325
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1893
-- Wer Ortho: 53.3621
-- Wer: 39.9646
+- Loss: 0.6436
+- Wer Ortho: 34.5466
+- Wer: 34.2385
 
 ## Model description
 
@@ -59,15 +59,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
-- lr_scheduler_warmup_steps: 5
-- training_steps: 10
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 4.3974        | 0.18  | 5    | 4.3934          | 54.1641   | 40.1417 |
-| 4.2086        | 0.36  | 10   | 3.1893          | 53.3621   | 39.9646 |
+| 0.0009        | 17.24 | 500  | 0.6436          | 34.5466   | 34.2385 |
 
 
 ### Framework versions