update model card README.md

README.md

@@ -5,18 +5,18 @@ tags:
 datasets:
 - facebook/voxpopuli
 model-index:
-- name: speecht5_finetuned_voxpopuli_pl_10epochs
+- name: speecht5_finetuned_voxpopuli_pl_20epochs
   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_finetuned_voxpopuli_pl_10epochs
+# speecht5_finetuned_voxpopuli_pl_20epochs
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4545
+- Loss: 0.4458
 
 ## Model description
 
@@ -44,22 +44,32 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6116        | 1.0   | 210  | 0.5300          |
-| 0.5393        | 2.0   | 421  | 0.4871          |
-| 0.5235        | 3.0   | 632  | 0.4736          |
-| 0.5125        | 4.0   | 843  | 0.4653          |
-| 0.5067        | 5.0   | 1053 | 0.4632          |
-| 0.5049        | 6.0   | 1264 | 0.4607          |
-| 0.4993        | 7.0   | 1475 | 0.4579          |
-| 0.4996        | 8.0   | 1686 | 0.4562          |
-| 0.4957        | 9.0   | 1896 | 0.4546          |
-| 0.4971        | 9.96  | 2100 | 0.4547          |
+| 0.6474        | 1.0   | 210  | 0.5754          |
+| 0.558         | 2.0   | 421  | 0.4976          |
+| 0.5292        | 3.0   | 632  | 0.4788          |
+| 0.5174        | 4.0   | 843  | 0.4693          |
+| 0.5063        | 5.0   | 1053 | 0.4639          |
+| 0.5053        | 6.0   | 1264 | 0.4599          |
+| 0.4968        | 7.0   | 1475 | 0.4570          |
+| 0.4913        | 8.0   | 1686 | 0.4549          |
+| 0.4895        | 9.0   | 1896 | 0.4532          |
+| 0.4876        | 10.0  | 2107 | 0.4520          |
+| 0.487         | 11.0  | 2318 | 0.4501          |
+| 0.4805        | 12.0  | 2529 | 0.4484          |
+| 0.4789        | 13.0  | 2739 | 0.4495          |
+| 0.4853        | 14.0  | 2950 | 0.4469          |
+| 0.4797        | 15.0  | 3161 | 0.4468          |
+| 0.4758        | 16.0  | 3372 | 0.4458          |
+| 0.4729        | 17.0  | 3582 | 0.4458          |
+| 0.4744        | 18.0  | 3793 | 0.4461          |
+| 0.4759        | 19.0  | 4004 | 0.4462          |
+| 0.4759        | 19.93 | 4200 | 0.4461          |
 
 
 ### Framework versions