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carlfeynman/
speecht5-finetuned-tamil

Name: speecht5-finetuned-tamil
Availability: InStock

generated_from_trainer

common_voice_13_0

microsoft/speecht5_tts

finetune

mit

endpoints_compatible

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speecht5-finetuned-tamil

This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5372

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7957	0.27	100	0.6803
0.68	0.54	200	0.6006
0.6305	0.81	300	0.5635
0.6067	1.09	400	0.5566
0.5979	1.36	500	0.5488
0.6046	1.63	600	0.5463
0.5913	1.9	700	0.5411
0.5905	2.17	800	0.5419
0.5868	2.44	900	0.5422
0.5803	2.71	1000	0.5372

Framework versions

Transformers 4.38.2
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.2

carlfeynman/speecht5-finetuned-tamil

speecht5-finetuned-tamil

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

carlfeynman/
speecht5-finetuned-tamil