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speecht5_GUIT_Final_Model_v1
kishorekashyap/speecht5_GUIT_Final_Model_v1
speecht5_GUIT_Final_Model_v1 is a machine learning model from kishorekashyap. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- May 29, 2025
- Updated
- May 29, 2025
- SHA
- 7e41e645
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_GUIT_Final_Model_v1
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4198
- eval_runtime: 5.5205
- eval_samples_per_second: 43.655
- eval_steps_per_second: 11.05
- epoch: 117.6471
- step: 1000
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.1
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- speecht5
- License
- mit
- Created
- May 29, 2025
- Updated
- May 29, 2025