End of training

README.md

@@ -19,6 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 # SpeechT5 TTS Arabic
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Hakawati dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9129
 
 ## Model description
 
@@ -49,6 +51,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8799        | 105.26 | 1000 | 0.9030          |
+| 0.7797        | 210.53 | 2000 | 0.9112          |
+| 0.752         | 315.79 | 3000 | 0.9089          |
+| 0.7475        | 421.05 | 4000 | 0.9129          |
+
+
 ### Framework versions
 
 - Transformers 4.40.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70fd91ce2b906911cdc3b994451a259546455da23425d0c6b3d5975a1d0d90e1
+oid sha256:fc27c708580a3bfdea21abfec8760cb23d9b3b2298a54d861d2d20adb783f5ed
 size 577789320