End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: mit
-base_model: maghrane/speecht5_finetuned_Mar
+base_model: microsoft/speecht5_tts
 tags:
 - generated_from_trainer
 model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # speecht5_finetuned_Mar
 
-This model is a fine-tuned version of [maghrane/speecht5_finetuned_Mar](https://huggingface.co/maghrane/speecht5_finetuned_Mar) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5000
+- Loss: 0.4845
 
 ## Model description
 
@@ -43,24 +43,29 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 8
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- training_steps: 1000
+- lr_scheduler_warmup_steps: 50
+- training_steps: 1500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.5642        | 0.7976 | 100  | 0.5996          |
-| 0.5648        | 1.5952 | 200  | 0.5856          |
-| 0.5542        | 2.3928 | 300  | 0.5461          |
-| 0.546         | 3.1904 | 400  | 0.5565          |
-| 0.5493        | 3.9880 | 500  | 0.5271          |
-| 0.5203        | 4.7856 | 600  | 0.5404          |
-| 0.5214        | 5.5833 | 700  | 0.5191          |
-| 0.5208        | 6.3809 | 800  | 0.5082          |
-| 0.5092        | 7.1785 | 900  | 0.5037          |
-| 0.4999        | 7.9761 | 1000 | 0.5000          |
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.7023        | 0.7976  | 100  | 0.6419          |
+| 0.6105        | 1.5952  | 200  | 0.5699          |
+| 0.5895        | 2.3928  | 300  | 0.5631          |
+| 0.5796        | 3.1904  | 400  | 0.5530          |
+| 0.5818        | 3.9880  | 500  | 0.5388          |
+| 0.5448        | 4.7856  | 600  | 0.5399          |
+| 0.562         | 5.5833  | 700  | 0.5166          |
+| 0.542         | 6.3809  | 800  | 0.5207          |
+| 0.5374        | 7.1785  | 900  | 0.5118          |
+| 0.5263        | 7.9761  | 1000 | 0.5009          |
+| 0.5079        | 8.7737  | 1100 | 0.4965          |
+| 0.5108        | 9.5713  | 1200 | 0.4884          |
+| 0.497         | 10.3689 | 1300 | 0.4883          |
+| 0.4915        | 11.1665 | 1400 | 0.4896          |
+| 0.5061        | 11.9641 | 1500 | 0.4845          |
 
 
 ### Framework versions