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: 0.0161
-- Wer: 11.5204
+- Loss: 0.0401
+- Wer: 26.8161
 
 ## Model description
 
@@ -38,22 +38,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 12
-- eval_batch_size: 8
+- train_batch_size: 16
+- 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: 1200
+- lr_scheduler_warmup_steps: 600
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0169        | 0.1631 | 400  | 0.0169          | 11.4843 |
-| 0.0198        | 0.3261 | 800  | 0.0173          | 12.8205 |
-| 0.0184        | 0.4892 | 1200 | 0.0161          | 11.5204 |
+| 0.1123        | 0.4912 | 1000 | 0.0716          | 43.9402 |
+| 0.052         | 0.9823 | 2000 | 0.0488          | 31.7834 |
+| 0.0402        | 1.4735 | 3000 | 0.0425          | 27.7498 |
+| 0.0367        | 1.9646 | 4000 | 0.0401          | 26.8161 |
 
 
 ### Framework versions