End of training

README.md

@@ -16,7 +16,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4875
+- Loss: 0.4771
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -43,22 +43,34 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 20000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.1426        | 10.0  | 500  | 0.5275          |
-| 1.0775        | 20.0  | 1000 | 0.5081          |
-| 1.0567        | 30.0  | 1500 | 0.4987          |
-| 1.0224        | 40.0  | 2000 | 0.4923          |
-| 1.0267        | 50.0  | 2500 | 0.4902          |
-| 1.0207        | 60.0  | 3000 | 0.4899          |
-| 1.0092        | 70.0  | 3500 | 0.4888          |
-| 1.0169        | 80.0  | 4000 | 0.4875          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.1297        | 20.0  | 1000  | 0.5249          |
+| 1.0651        | 40.0  | 2000  | 0.5058          |
+| 1.0377        | 60.0  | 3000  | 0.4958          |
+| 1.024         | 80.0  | 4000  | 0.4904          |
+| 1.0095        | 100.0 | 5000  | 0.4870          |
+| 1.0052        | 120.0 | 6000  | 0.4832          |
+| 0.9984        | 140.0 | 7000  | 0.4830          |
+| 0.9908        | 160.0 | 8000  | 0.4818          |
+| 0.99          | 180.0 | 9000  | 0.4810          |
+| 0.98          | 200.0 | 10000 | 0.4814          |
+| 0.9765        | 220.0 | 11000 | 0.4793          |
+| 0.971         | 240.0 | 12000 | 0.4786          |
+| 0.9756        | 260.0 | 13000 | 0.4823          |
+| 0.9703        | 280.0 | 14000 | 0.4792          |
+| 0.9718        | 300.0 | 15000 | 0.4780          |
+| 0.959         | 320.0 | 16000 | 0.4792          |
+| 0.963         | 340.0 | 17000 | 0.4789          |
+| 0.9639        | 360.0 | 18000 | 0.4789          |
+| 0.9613        | 380.0 | 19000 | 0.4786          |
+| 0.9577        | 400.0 | 20000 | 0.4771          |
 
 
 ### Framework versions

model.safetensors

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runs/Oct31_08-40-35_ip-172-31-8-84/events.out.tfevents.1761900041.ip-172-31-8-84.4000.0

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 version https://git-lfs.github.com/spec/v1
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