End of training

README.md

@@ -16,12 +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:
-- eval_loss: 0.3810
-- eval_runtime: 153.6966
-- eval_samples_per_second: 7.847
-- eval_steps_per_second: 3.923
-- epoch: 10.3225
-- step: 3500
+- Loss: 0.3654
 
 ## Model description
 
@@ -52,6 +47,22 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.4378        | 1.4744  | 500  | 0.4069          |
+| 0.4306        | 2.9488  | 1000 | 0.3975          |
+| 0.4141        | 4.4231  | 1500 | 0.3862          |
+| 0.4082        | 5.8975  | 2000 | 0.3851          |
+| 0.4029        | 7.3738  | 2500 | 0.3819          |
+| 0.4021        | 8.8481  | 3000 | 0.3795          |
+| 0.4016        | 11.4744 | 3500 | 0.3763          |
+| 0.3918        | 13.1131 | 4000 | 0.3745          |
+| 0.3889        | 13.2735 | 4500 | 0.3682          |
+| 0.3886        | 14.7479 | 5000 | 0.3654          |
+
+
 ### Framework versions
 
 - Transformers 4.46.2