End of training

README.md

@@ -17,7 +17,7 @@ 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: 0.4836
+- Loss: 0.6262
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 1e-06
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -44,18 +44,24 @@ 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: 100
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-------:|:----:|:---------------:|
-| 0.5453 | 6.1162 | 1000 | 0.5075 |
-| 0.5272 | 12.2324 | 2000 | 0.4885 |
-| 0.5224 | 18.3486 | 3000 | 0.4845 |
-| 0.5225 | 24.4648 | 4000 | 0.4836 |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7564 | 0.6116 | 100 | 0.7051 |
+| 0.7636 | 1.2232 | 200 | 0.6764 |
+| 0.7263 | 1.8349 | 300 | 0.6662 |
+| 0.7262 | 2.4465 | 400 | 0.6555 |
+| 0.7038 | 3.0581 | 500 | 0.6483 |
+| 0.6931 | 3.6697 | 600 | 0.6422 |
+| 0.6881 | 4.2813 | 700 | 0.6344 |
+| 0.6916 | 4.8930 | 800 | 0.6300 |
+| 0.6814 | 5.5046 | 900 | 0.6286 |
+| 0.6692 | 6.1162 | 1000 | 0.6262 |
 
 
 ### Framework versions