End of training

README.md

@@ -9,18 +9,18 @@ tags:
 datasets:
 - maguette
 model-index:
-- name: SpeechT5 TTS MT V0
+- name: SpeechT5 TTS MT V1
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# SpeechT5 TTS MT V0
+# SpeechT5 TTS MT V1
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the maguette dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2207
+- Loss: 0.7553
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| No log        | 6.6667  | 10   | 1.9046          |
-| No log        | 13.3333 | 20   | 1.5552          |
-| 1.9023        | 20.0    | 30   | 1.4780          |
-| 1.9023        | 26.6667 | 40   | 1.4256          |
-| 1.567         | 33.3333 | 50   | 1.4126          |
-| 1.567         | 40.0    | 60   | 1.3005          |
-| 1.567         | 46.6667 | 70   | 1.2734          |
-| 1.4002        | 53.3333 | 80   | 1.2259          |
-| 1.4002        | 60.0    | 90   | 1.1843          |
-| 1.2804        | 66.6667 | 100  | 1.2207          |
+| No log        | 6.6667  | 10   | 1.0697          |
+| No log        | 13.3333 | 20   | 0.9269          |
+| 1.1237        | 20.0    | 30   | 0.8719          |
+| 1.1237        | 26.6667 | 40   | 0.8235          |
+| 0.8225        | 33.3333 | 50   | 0.8047          |
+| 0.8225        | 40.0    | 60   | 0.7953          |
+| 0.8225        | 46.6667 | 70   | 0.7818          |
+| 0.7747        | 53.3333 | 80   | 0.7663          |
+| 0.7747        | 60.0    | 90   | 0.7559          |
+| 0.7322        | 66.6667 | 100  | 0.7553          |
 
 
 ### Framework versions