End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0273
-- Wer: 22.7055
+- Loss: 0.0224
+- Wer: 16.8793
 
 ## Model description
 
@@ -38,21 +38,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 12
 - eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 2000
+- training_steps: 1200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0361        | 0.5435 | 1000 | 0.0311          | 25.5805 |
-| 0.0324        | 1.0870 | 2000 | 0.0273          | 22.7055 |
+| 0.0256        | 0.2201 | 600  | 0.0253          | 18.6784 |
+| 0.0251        | 0.4402 | 1200 | 0.0224          | 16.8793 |
 
 
 ### Framework versions