update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 36.03546548448385
+      value: 0.3616212792906903
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ 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 Minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6901
-- Wer Ortho: 35.7049
-- Wer: 36.0355
+- Loss: 0.8795
+- Wer Ortho: 0.3577
+- Wer: 0.3616
 
 ## Model description
 
@@ -64,13 +64,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 2000
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.002         | 17.54 | 500  | 0.6901          | 35.7049   | 36.0355 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0006        | 17.54 | 500  | 0.7812          | 0.3419    | 0.3477 |
+| 0.0           | 35.09 | 1000 | 0.8306          | 0.3267    | 0.3319 |
+| 0.0           | 52.63 | 1500 | 0.8573          | 0.3570    | 0.3610 |
+| 0.0           | 70.18 | 2000 | 0.8795          | 0.3577    | 0.3616 |
 
 
 ### Framework versions