update model card README.md

README.md

@@ -1,28 +1,22 @@
 ---
-language:
-- vi
+license: mit
 tags:
-- text-to-speech
-- vivos
+- generated_from_trainer
 datasets:
 - vivos
 model-index:
-- name: SpeechT5 TTS Vietnamese
+- name: speecht5_tts_vivos
   results: []
-pipeline-tag:
-- text-to-speech
-widget:
-- text: "Đây được xem là truyện thơ nổi tiếng nhất và xét vào hàng kinh điển trong văn học Việt Nam."
 ---
 
 <!-- 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 Vietnamese
+# speecht5_tts_vivos
 
-This model is a fine-tuned version of [speechT5](https://huggingface.co/docs/transformers/main/en/model_doc/speecht5) on the [vivos](https://huggingface.co/vivos) dataset.
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4314
+- Loss: 0.4145
 
 ## Model description
 
@@ -56,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.4969        | 2.81  | 1000 | 0.4549          |
-| 0.4933        | 5.63  | 2000 | 0.4433          |
-| 0.4713        | 8.44  | 3000 | 0.4316          |
-| 0.4733        | 11.25 | 4000 | 0.4314          |
+| 0.4582        | 2.81  | 1000 | 0.4213          |
+| 0.459         | 5.63  | 2000 | 0.4204          |
+| 0.4489        | 8.44  | 3000 | 0.4149          |
+| 0.4466        | 11.25 | 4000 | 0.4145          |
 
 
 ### Framework versions
@@ -67,4 +61,4 @@ The following hyperparameters were used during training:
 - Transformers 4.29.0.dev0
 - Pytorch 2.0.0
 - Datasets 2.11.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3