End of training

README.md

@@ -20,7 +20,7 @@ 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 the MultilingualLibrispeech dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3677
+- Loss: 0.3452
 
 ## Model description
 
@@ -48,17 +48,23 @@ 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: 500
-- training_steps: 4000
+- training_steps: 10000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.4263        | 3.88  | 1000 | 0.3850          |
-| 0.4078        | 7.76  | 2000 | 0.3719          |
-| 0.4017        | 11.63 | 3000 | 0.3694          |
-| 0.403         | 15.51 | 4000 | 0.3677          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4091        | 1.68  | 1000  | 0.3728          |
+| 0.3906        | 3.35  | 2000  | 0.3598          |
+| 0.3899        | 5.03  | 3000  | 0.3543          |
+| 0.3842        | 6.71  | 4000  | 0.3518          |
+| 0.376         | 8.38  | 5000  | 0.3492          |
+| 0.3745        | 10.06 | 6000  | 0.3474          |
+| 0.3773        | 11.74 | 7000  | 0.3473          |
+| 0.3774        | 13.41 | 8000  | 0.3461          |
+| 0.3719        | 15.09 | 9000  | 0.3454          |
+| 0.3712        | 16.76 | 10000 | 0.3452          |
 
 
 ### Framework versions