End of training

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [reproductionguru/voicetest6](https://huggingface.co/reproductionguru/voicetest6) on the tutorial Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4757
-- Wer: 21.0355
+- Loss: 0.5845
+- Wer: 18.9294
 
 ## Model description
 
@@ -40,24 +40,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 12
+- eval_batch_size: 12
 - 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: 5000
+- training_steps: 10000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.4953        | 0.4   | 1000 | 0.6332          | 30.4347 |
-| 0.408         | 0.8   | 2000 | 0.5400          | 25.3584 |
-| 0.2074        | 1.2   | 3000 | 0.5097          | 23.7629 |
-| 0.1796        | 1.61  | 4000 | 0.4885          | 21.6339 |
-| 0.1583        | 2.01  | 5000 | 0.4757          | 21.0355 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.2138        | 0.96  | 2000  | 0.4851          | 20.9147 |
+| 0.1005        | 1.93  | 4000  | 0.5006          | 20.7187 |
+| 0.029         | 2.89  | 6000  | 0.5342          | 19.6702 |
+| 0.0092        | 3.85  | 8000  | 0.5682          | 19.0752 |
+| 0.0029        | 4.82  | 10000 | 0.5845          | 18.9294 |
 
 
 ### Framework versions