End of training

README.md

@@ -1,7 +1,5 @@
 ---
 library_name: transformers
-license: mit
-base_model: microsoft/speecht5_tts
 tags:
 - generated_from_trainer
 model-index:
@@ -14,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # CollectedDataModel
 
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4390
+- Loss: 0.4365
 
 ## Model description
 
@@ -44,53 +42,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- training_steps: 4000
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss |
-|:-------------:|:-------:|:----:|:---------------:|
-| 0.5567        | 0.9913  | 100  | 0.4913          |
-| 0.5127        | 1.9827  | 200  | 0.4692          |
-| 0.4915        | 2.9740  | 300  | 0.4562          |
-| 0.4862        | 3.9653  | 400  | 0.4524          |
-| 0.4745        | 4.9566  | 500  | 0.4483          |
-| 0.4735        | 5.9480  | 600  | 0.4458          |
-| 0.4681        | 6.9393  | 700  | 0.4397          |
-| 0.4656        | 7.9306  | 800  | 0.4408          |
-| 0.4576        | 8.9219  | 900  | 0.4336          |
-| 0.4571        | 9.9133  | 1000 | 0.4343          |
-| 0.451         | 10.9046 | 1100 | 0.4339          |
-| 0.4517        | 11.8959 | 1200 | 0.4316          |
-| 0.4432        | 12.8872 | 1300 | 0.4315          |
-| 0.4448        | 13.8786 | 1400 | 0.4357          |
-| 0.4455        | 14.8699 | 1500 | 0.4296          |
-| 0.4387        | 15.8612 | 1600 | 0.4331          |
-| 0.4334        | 16.8525 | 1700 | 0.4359          |
-| 0.4373        | 17.8439 | 1800 | 0.4290          |
-| 0.4304        | 18.8352 | 1900 | 0.4318          |
-| 0.4279        | 19.8265 | 2000 | 0.4305          |
-| 0.4294        | 20.8178 | 2100 | 0.4327          |
-| 0.4269        | 21.8092 | 2200 | 0.4327          |
-| 0.4248        | 22.8005 | 2300 | 0.4309          |
-| 0.4255        | 23.7918 | 2400 | 0.4275          |
-| 0.43          | 24.7831 | 2500 | 0.4315          |
-| 0.4214        | 25.7745 | 2600 | 0.4345          |
-| 0.4166        | 26.7658 | 2700 | 0.4362          |
-| 0.4173        | 27.7571 | 2800 | 0.4343          |
-| 0.4172        | 28.7485 | 2900 | 0.4325          |
-| 0.4142        | 29.7398 | 3000 | 0.4329          |
-| 0.4134        | 30.7311 | 3100 | 0.4327          |
-| 0.4121        | 31.7224 | 3200 | 0.4388          |
-| 0.4085        | 32.7138 | 3300 | 0.4352          |
-| 0.4095        | 33.7051 | 3400 | 0.4388          |
-| 0.4112        | 34.6964 | 3500 | 0.4372          |
-| 0.4106        | 35.6877 | 3600 | 0.4388          |
-| 0.4054        | 36.6791 | 3700 | 0.4392          |
-| 0.4075        | 37.6704 | 3800 | 0.4395          |
-| 0.4086        | 38.6617 | 3900 | 0.4393          |
-| 0.4125        | 39.6530 | 4000 | 0.4390          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4302        | 0.9913 | 100  | 0.4359          |
+| 0.4275        | 1.9827 | 200  | 0.4396          |
+| 0.4208        | 2.9740 | 300  | 0.4366          |
+| 0.4217        | 3.9653 | 400  | 0.4389          |
+| 0.4154        | 4.9566 | 500  | 0.4282          |
+| 0.4173        | 5.9480 | 600  | 0.4362          |
+| 0.4127        | 6.9393 | 700  | 0.4378          |
+| 0.4104        | 7.9306 | 800  | 0.4340          |
+| 0.4076        | 8.9219 | 900  | 0.4347          |
+| 0.4065        | 9.9133 | 1000 | 0.4365          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee9b73a31eb5deffe561166b38cb87c5d78c32499f5bca8e99d7a9cfb3f22682
+oid sha256:5b2b492ef1b02ea87760d1f890cd96a5f2e11fe05387d240b4e42a2b9ac9e166
 size 577789320