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speecht5-tunis_finalll
asserr/speecht5-tunis_finalll
speecht5-tunis_finalll is a automatic speech recognition model from asserr. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Jan 24, 2026
- Updated
- Jan 25, 2026
- SHA
- 7b155506
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-tunis_finalll
This model is a fine-tuned version of microsoft/speecht5_asr on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2003
- Wer Ortho: 62.9526
- Wer: 59.7855
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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho |
|---|---|---|---|---|---|
| 1.7381 | 0.3731 | 100 | 1.4437 | 213.9108 | 371.3889 |
| 0.8437 | 0.7463 | 200 | 0.5686 | 81.6273 | 80.5556 |
| 0.4461 | 1.1194 | 300 | 0.3668 | 77.4278 | 76.1111 |
| 0.3753 | 1.4925 | 400 | 0.2760 | 74.0157 | 72.7778 |
| 0.3416 | 1.8657 | 500 | 0.2392 | 84.7769 | 80.8333 |
| 0.2656 | 2.2388 | 600 | 0.2138 | 67.9790 | 67.7778 |
| 0.2706 | 2.6119 | 700 | 0.2085 | 77.1654 | 74.7222 |
| 0.2509 | 2.9851 | 800 | 0.1995 | 62.2047 | 63.0556 |
| 0.2314 | 3.3582 | 900 | 0.1949 | 61.6798 | 62.5 |
| 0.2806 | 3.7313 | 1000 | 0.1951 | 62.4672 | 63.3333 |
| 0.2254 | 4.1045 | 1100 | 0.1912 | 68.6111 | 69.2913 |
| 0.2674 | 4.4776 | 1200 | 0.1863 | 68.6111 | 69.8163 |
| 0.301 | 4.8507 | 1300 | 0.1862 | 67.5 | 67.9790 |
| 0.2354 | 5.2239 | 1400 | 0.1850 | 61.1111 | 59.8425 |
| 0.2349 | 5.5970 | 1500 | 0.1851 | 67.2222 | 67.7165 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Jan 24, 2026
- Updated
- Jan 25, 2026