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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4399
+- Loss: 0.4591
 
 ## Model description
 
@@ -43,24 +43,24 @@ 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: 200
-- training_steps: 1000
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.5642        | 16.64 | 200  | 0.5134          |
-| 0.4948        | 33.32 | 400  | 0.4464          |
-| 0.4797        | 49.96 | 600  | 0.4396          |
-| 0.4792        | 66.64 | 800  | 0.4400          |
-| 0.4728        | 83.32 | 1000 | 0.4399          |
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.5365        | 7.1509  | 100  | 0.5532          |
+| 0.4913        | 14.3019 | 200  | 0.5052          |
+| 0.4663        | 21.4528 | 300  | 0.4667          |
+| 0.4551        | 28.6038 | 400  | 0.4611          |
+| 0.4502        | 35.7547 | 500  | 0.4591          |
 
 
 ### Framework versions
 
 - Transformers 4.51.1
-- Pytorch 2.5.1+cu124
+- Pytorch 2.6.0+cu124
 - Datasets 3.5.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.1