End of training

README.md

@@ -21,7 +21,7 @@ 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 common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4646
+- Loss: 0.4619
 
 ## Model description
 
@@ -49,26 +49,28 @@ The following hyperparameters were used during training:
 - optimizer: Use 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: 100
-- num_epochs: 3.0
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 5.3349        | 0.3442 | 100  | 0.5973          |
-| 4.7257        | 0.6885 | 200  | 0.5412          |
-| 4.3821        | 1.0327 | 300  | 0.5127          |
-| 4.283         | 1.3769 | 400  | 0.4926          |
-| 4.1735        | 1.7212 | 500  | 0.4865          |
-| 4.0968        | 2.0654 | 600  | 0.4790          |
-| 4.0861        | 2.4096 | 700  | 0.4687          |
-| 3.9972        | 2.7539 | 800  | 0.4646          |
+| 5.2577        | 0.3442 | 100  | 0.5713          |
+| 4.7919        | 0.6885 | 200  | 0.5288          |
+| 4.4862        | 1.0327 | 300  | 0.5080          |
+| 4.2187        | 1.3769 | 400  | 0.4920          |
+| 4.1509        | 1.7212 | 500  | 0.4841          |
+| 4.1573        | 2.0654 | 600  | 0.4809          |
+| 4.0679        | 2.4096 | 700  | 0.4745          |
+| 4.0088        | 2.7539 | 800  | 0.4671          |
+| 3.9249        | 3.0981 | 900  | 0.4624          |
+| 3.9106        | 3.4423 | 1000 | 0.4619          |
 
 
 ### Framework versions
 
 - Transformers 4.46.0.dev0
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.1
+- Datasets 3.0.2
 - Tokenizers 0.20.1