End of training

README.md

@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [CKSINGH/whisper-small-hi-iiib](https://huggingface.co/CKSINGH/whisper-small-hi-iiib) on the Common Voice 13.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3975
-- Wer: 33.5625
-- Cer: 10.9848
+- Loss: 0.2473
+- Wer: 21.4253
+- Cer: 7.5700
 
 ## Model description
 
@@ -47,16 +47,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 1
-- training_steps: 2
+- lr_scheduler_warmup_steps: 500
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.4544        | 0.0   | 1    | 0.5773          | 34.5894 | 11.3627 |
-| 0.5049        | 0.01  | 2    | 0.3975          | 33.5625 | 10.9848 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| 0.0382        | 3.57  | 1000 | 0.2021          | 22.8043 | 8.1173 |
+| 0.0027        | 7.14  | 2000 | 0.2321          | 21.6614 | 7.6820 |
+| 0.0001        | 10.71 | 3000 | 0.2473          | 21.4253 | 7.5700 |
 
 
 ### Framework versions