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speecht5_finetuned_uz
mirodil/speecht5_finetuned_uz
speecht5_finetuned_uz is a text-to-audio model from mirodil. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- Model type
- speecht5
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Dec 5, 2024
- SHA
- 1e348be7
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
speecht5_finetuned_uz
This model is a fine-tuned version of speecht5 on the google/fleurs and the mozilla-foundation/common_voice_17_0 datasets. It achieves the following results on the evaluation set:
- Loss: 0.3808
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 0.3819 |
| 0.4112 | 3.3333 | 40 | 0.3825 |
| 0.4122 | 6.6667 | 80 | 0.3815 |
| 0.4133 | 10.0 | 120 | 0.3814 |
| 0.4132 | 13.3333 | 160 | 0.3804 |
| 0.412 | 16.6667 | 200 | 0.3756 |
| 0.4128 | 20.0 | 240 | 0.3812 |
| 0.4157 | 23.3333 | 280 | 0.3808 |
| 0.4088 | 26.6667 | 320 | 0.3801 |
| 0.4107 | 30.0 | 360 | 0.3806 |
| 0.4085 | 33.3333 | 400 | 0.3822 |
| 0.413 | 36.6667 | 440 | 0.3811 |
| 0.4091 | 40.0 | 480 | 0.3821 |
| 0.4114 | 43.3333 | 520 | 0.3770 |
| 0.4064 | 46.6667 | 560 | 0.3844 |
| 0.4104 | 50.0 | 600 | 0.3804 |
| 0.4124 | 53.3333 | 640 | 0.3786 |
| 0.4068 | 56.6667 | 680 | 0.3773 |
| 0.4072 | 60.0 | 720 | 0.3813 |
| 0.4107 | 63.3333 | 760 | 0.3777 |
| 0.4109 | 66.6667 | 800 | 0.3759 |
| 0.4118 | 70.0 | 840 | 0.3828 |
| 0.408 | 73.3333 | 880 | 0.3789 |
| 0.4104 | 76.6667 | 920 | 0.3824 |
| 0.408 | 80.0 | 960 | 0.3790 |
| 0.4096 | 83.3333 | 1000 | 0.3802 |
| 0.4069 | 86.6667 | 1040 | 0.3771 |
| 0.4119 | 90.0 | 1080 | 0.3774 |
| 0.4063 | 93.3333 | 1120 | 0.3829 |
| 0.4061 | 96.6667 | 1160 | 0.3795 |
| 0.4073 | 100.0 | 1200 | 0.3808 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- Languages
- uzb
- Created
- Oct 22, 2024
- Updated
- Dec 5, 2024