Model save

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: 0.3870
+- Loss: 0.3836
 
 ## 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
@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| 0.5982        | 2.7586  | 100  | 0.5087          |
-| 0.5189        | 5.5172  | 200  | 0.4784          |
-| 0.5032        | 8.2759  | 300  | 0.4659          |
-| 0.4652        | 11.0345 | 400  | 0.4518          |
-| 0.4476        | 13.7931 | 500  | 0.4489          |
-| 0.4243        | 16.5517 | 600  | 0.4324          |
-| 0.4176        | 19.3103 | 700  | 0.4115          |
-| 0.3981        | 22.0690 | 800  | 0.4019          |
-| 0.3887        | 24.8276 | 900  | 0.4002          |
-| 0.3903        | 27.5862 | 1000 | 0.4059          |
-| 0.3747        | 30.3448 | 1100 | 0.4010          |
-| 0.3656        | 33.1034 | 1200 | 0.3929          |
-| 0.3636        | 35.8621 | 1300 | 0.3899          |
-| 0.3605        | 38.6207 | 1400 | 0.3900          |
-| 0.3648        | 41.3793 | 1500 | 0.3870          |
+| 0.6028        | 2.7586  | 100  | 0.5187          |
+| 0.5195        | 5.5172  | 200  | 0.4851          |
+| 0.5075        | 8.2759  | 300  | 0.4708          |
+| 0.462         | 11.0345 | 400  | 0.4609          |
+| 0.4429        | 13.7931 | 500  | 0.4294          |
+| 0.4303        | 16.5517 | 600  | 0.4249          |
+| 0.4172        | 19.3103 | 700  | 0.4184          |
+| 0.402         | 22.0690 | 800  | 0.4077          |
+| 0.3898        | 24.8276 | 900  | 0.3975          |
+| 0.3966        | 27.5862 | 1000 | 0.4197          |
+| 0.3773        | 30.3448 | 1100 | 0.3955          |
+| 0.3658        | 33.1034 | 1200 | 0.3878          |
+| 0.3644        | 35.8621 | 1300 | 0.3878          |
+| 0.3622        | 38.6207 | 1400 | 0.3841          |
+| 0.3671        | 41.3793 | 1500 | 0.3836          |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.46.2
 - Pytorch 2.5.0+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"
 }