End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.6198
+- Loss: 0.4253
 
 ## Model description
 
@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 8
 - total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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: 1500
@@ -49,28 +49,28 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch     | Step | Validation Loss |
-|:-------------:|:---------:|:----:|:---------------:|
-| 0.5825        | 88.8889   | 100  | 0.5775          |
-| 0.4984        | 177.7778  | 200  | 0.6064          |
-| 0.4252        | 266.6667  | 300  | 0.5800          |
-| 0.3997        | 355.5556  | 400  | 0.5745          |
-| 0.366         | 444.4444  | 500  | 0.5863          |
-| 0.3521        | 533.3333  | 600  | 0.5969          |
-| 0.3308        | 622.2222  | 700  | 0.5716          |
-| 0.32          | 711.1111  | 800  | 0.5757          |
-| 0.3088        | 800.0     | 900  | 0.6095          |
-| 0.3006        | 888.8889  | 1000 | 0.6352          |
-| 0.2911        | 977.7778  | 1100 | 0.6207          |
-| 0.2849        | 1066.6667 | 1200 | 0.6181          |
-| 0.2869        | 1155.5556 | 1300 | 0.6321          |
-| 0.2853        | 1244.4444 | 1400 | 0.6271          |
-| 0.285         | 1333.3333 | 1500 | 0.6198          |
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.648         | 7.9901   | 100  | 0.5922          |
+| 0.5721        | 15.9901  | 200  | 0.5445          |
+| 0.5337        | 23.9901  | 300  | 0.5103          |
+| 0.5057        | 31.9901  | 400  | 0.5052          |
+| 0.4894        | 39.9901  | 500  | 0.4869          |
+| 0.4765        | 47.9901  | 600  | 0.4804          |
+| 0.4577        | 55.9901  | 700  | 0.4770          |
+| 0.4462        | 63.9901  | 800  | 0.4561          |
+| 0.4275        | 71.9901  | 900  | 0.4445          |
+| 0.4143        | 79.9901  | 1000 | 0.4388          |
+| 0.4044        | 87.9901  | 1100 | 0.4363          |
+| 0.3929        | 95.9901  | 1200 | 0.4299          |
+| 0.3922        | 103.9901 | 1300 | 0.4276          |
+| 0.3915        | 111.9901 | 1400 | 0.4262          |
+| 0.3877        | 119.9901 | 1500 | 0.4253          |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3

generation_config.json

@@ -5,5 +5,5 @@
   "eos_token_id": 2,
   "max_length": 1876,
   "pad_token_id": 1,
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.46.2"
 }