End of training

README.md

@@ -3,6 +3,7 @@ license: mit
 base_model: microsoft/speecht5_tts
 tags:
 - text-to-speech
+- generated_from_trainer
 datasets:
 - voxpopuli
 model-index:
@@ -17,7 +18,7 @@ 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 voxpopuli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5157
+- Loss: 0.4915
 
 ## Model description
 
@@ -36,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
@@ -44,21 +45,15 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- lr_scheduler_warmup_steps: 200
+- training_steps: 500
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.5152        | 91.95  | 500  | 0.5177          |
-| 0.4734        | 183.91 | 1000 | 0.5199          |
-| 0.4555        | 275.86 | 1500 | 0.5129          |
-| 0.4464        | 367.82 | 2000 | 0.5133          |
-| 0.437         | 459.77 | 2500 | 0.5097          |
-| 0.4342        | 551.72 | 3000 | 0.5152          |
-| 0.426         | 643.68 | 3500 | 0.5153          |
-| 0.426         | 735.63 | 4000 | 0.5157          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4214        | 45.98 | 250  | 0.4956          |
+| 0.3978        | 91.95 | 500  | 0.4915          |
 
 
 ### Framework versions