End of training

README.md

@@ -1,7 +1,11 @@
 ---
 library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
 tags:
 - generated_from_trainer
+datasets:
+- common_voice_11_0
 model-index:
 - name: speecht5_finetuned_mehmett
   results: []
@@ -12,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # speecht5_finetuned_mehmett
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.2957
-- eval_runtime: 490.1966
-- eval_samples_per_second: 25.459
-- eval_steps_per_second: 12.73
-- epoch: 0.3134
-- step: 1100
+- eval_loss: 0.4797
+- eval_runtime: 4.0138
+- eval_samples_per_second: 40.61
+- eval_steps_per_second: 20.43
+- epoch: 4.3716
+- step: 200
 
 ## Model description
 
@@ -53,6 +57,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
+- Pytorch 2.4.1+cu121
 - Datasets 3.0.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:85f041dd1e559ac2a0ee40e8daf6fc9deefb922b3654d942f6cac39bd8e3a06f
 size 577789320

runs/Sep20_13-47-06_e997e440578a/events.out.tfevents.1726840038.e997e440578a.6136.0

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