Second training. Before training...

README.md

@@ -4,6 +4,7 @@ language:
 license: mit
 base_model: microsoft/speecht5_tts
 tags:
+- text-to-speech
 - generated_from_trainer
 datasets:
 - facebook/voxpopuli
@@ -18,13 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
 # speecht5_finetuned_voxpopuli_es
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.4635
-- eval_runtime: 9.3761
-- eval_samples_per_second: 16.211
-- eval_steps_per_second: 4.053
-- epoch: 46.78
-- step: 2000
 
 ## Model description
 
@@ -45,10 +39,10 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 8
-- eval_batch_size: 4
+- eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/speecht5_tts",
+  "_name_or_path": "davidggphy/speecht5_finetuned_voxpopuli_es",
   "activation_dropout": 0.1,
   "apply_spec_augment": true,
   "architectures": [

model.safetensors

@@ -0,0 +1,3 @@
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training_args.bin

@@ -1,3 +1,3 @@
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