update model card README.md

README.md

@@ -1,23 +1,25 @@
 ---
+language:
+- nl
 license: mit
 base_model: microsoft/speecht5_tts
 tags:
 - generated_from_trainer
 datasets:
-- voxpopuli
+- facebook/voxpopuli
 model-index:
-- name: speecht5_finetuned_voxpopuli_nl
+- name: speec T5 NL - Sumet
   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_nl
+# speec T5 NL - Sumet
 
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Vox Populi NL dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4817
+- Loss: nan
 
 ## Model description
 
@@ -36,36 +38,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 16
+- learning_rate: 0.003
+- train_batch_size: 8
 - eval_batch_size: 4
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 4000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.7685        | 0.43  | 100  | 0.6720          |
-| 0.7072        | 0.86  | 200  | 0.6247          |
-| 0.6094        | 1.29  | 300  | 0.5385          |
-| 0.5648        | 1.72  | 400  | 0.5098          |
-| 0.5602        | 2.15  | 500  | 0.5003          |
-| 0.5337        | 2.58  | 600  | 0.4931          |
-| 0.5357        | 3.01  | 700  | 0.4881          |
-| 0.5315        | 3.44  | 800  | 0.4841          |
-| 0.5248        | 3.87  | 900  | 0.4828          |
-| 0.5281        | 4.3   | 1000 | 0.4817          |
+| 0.0           | 0.54  | 1000 | nan             |
+| 0.0           | 1.09  | 2000 | nan             |
+| 0.0           | 1.63  | 3000 | nan             |
+| 0.0           | 2.18  | 4000 | nan             |
 
 
 ### Framework versions
 
-- Transformers 4.31.0.dev0
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.0
 - Tokenizers 0.13.3