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: 0.4410
+- Loss: 0.4463
 
 ## Model description
 
@@ -37,20 +37,30 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Use adamw_torch_fused 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: 500
-- training_steps: 0
+- training_steps: 5000
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.5209        | 10.0  | 500  | 0.4410          |
+| 0.4585        | 10.0  | 500  | 0.4543          |
+| 0.4313        | 20.0  | 1000 | 0.4337          |
+| 0.4032        | 30.0  | 1500 | 0.4295          |
+| 0.3679        | 40.0  | 2000 | 0.4197          |
+| 0.3623        | 50.0  | 2500 | 0.4206          |
+| 0.3526        | 60.0  | 3000 | 0.4166          |
+| 0.3356        | 70.0  | 3500 | 0.4243          |
+| 0.3273        | 80.0  | 4000 | 0.4247          |
+| 0.3267        | 90.0  | 4500 | 0.4366          |
+| 0.3166        | 100.0 | 5000 | 0.4463          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:48b0fd48e489a6fd83883c4701eb29a9ef3d86a53cc8509ec02f30f25b6a23c3
+oid sha256:1fc58bd7745f3ee93fd05530b7d3bc2a6daa814567275f324d4b96c464349fee
 size 577789320