End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3505
+- Loss: 0.3364
 
 ## Model description
 
@@ -43,16 +43,20 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 5000
-- training_steps: 3000
+- training_steps: 7000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.4485        | 2.5397 | 1000 | 0.3890          |
-| 0.4026        | 5.0794 | 2000 | 0.3610          |
-| 0.385         | 7.6190 | 3000 | 0.3505          |
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.4494        | 2.8219  | 1000 | 0.3897          |
+| 0.4043        | 5.6437  | 2000 | 0.3628          |
+| 0.3852        | 8.4656  | 3000 | 0.3500          |
+| 0.3756        | 11.2875 | 4000 | 0.3447          |
+| 0.3666        | 14.1093 | 5000 | 0.3408          |
+| 0.3575        | 16.9312 | 6000 | 0.3375          |
+| 0.354         | 19.7531 | 7000 | 0.3364          |
 
 
 ### Framework versions