Training completed & pushed automatically!

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3953
-- Cer: 105.0808
+- Loss: 0.4159
+- Cer: 105.1323
 
 ## Model description
 
@@ -37,23 +37,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 128
-- eval_batch_size: 64
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use OptimizerNames.ADAFACTOR and the args are:
 No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 228
-- training_steps: 2280
+- lr_scheduler_warmup_steps: 912
+- training_steps: 9129
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer      |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.3989        | 0.9987 | 760  | 0.5283          | 129.5310 |
-| 0.3029        | 1.9974 | 1520 | 0.4358          | 121.7846 |
-| 0.2064        | 2.9961 | 2280 | 0.3953          | 105.0808 |
+| 0.4009        | 0.9997 | 3043 | 0.5068          | 102.8680 |
+| 0.292         | 1.9993 | 6086 | 0.4280          | 108.6212 |
+| 0.2075        | 2.9990 | 9129 | 0.4159          | 105.1323 |
 
 
 ### Framework versions