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new_model_TTS
HuynhPhamN/new_model_TTS
new_model_TTS is a machine learning model from HuynhPhamN. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- May 30, 2026
- Updated
- May 30, 2026
- SHA
- 8fa0fd8a
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. -->
new_model_TTS
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2690
- Cer: 0.1077
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 11.0198 | 0.1218 | 100 | 3.8782 | 1.0 |
| 3.7091 | 0.2436 | 200 | 3.7613 | 1.0 |
| 3.6421 | 0.3654 | 300 | 3.7285 | 1.0 |
| 3.6077 | 0.4872 | 400 | 3.5062 | 1.0 |
| 3.4196 | 0.6090 | 500 | 3.3978 | 0.9436 |
| 3.1641 | 0.7308 | 600 | 2.7949 | 0.8838 |
| 2.4817 | 0.8526 | 700 | 1.7425 | 0.5752 |
| 1.6965 | 0.9744 | 800 | 1.0554 | 0.3422 |
| 1.2581 | 1.0962 | 900 | 0.6237 | 0.1612 |
| 1.0314 | 1.2180 | 1000 | 0.5235 | 0.1448 |
| 0.9251 | 1.3398 | 1100 | 0.4387 | 0.1395 |
| 0.8336 | 1.4616 | 1200 | 0.4046 | 0.1307 |
| 0.7885 | 1.5834 | 1300 | 0.3705 | 0.1331 |
| 0.7256 | 1.7052 | 1400 | 0.3563 | 0.1087 |
| 0.709 | 1.8270 | 1500 | 0.3363 | 0.1428 |
| 0.6809 | 1.9488 | 1600 | 0.3244 | 0.1225 |
| 0.6302 | 2.0706 | 1700 | 0.3114 | 0.1275 |
| 0.6304 | 2.1924 | 1800 | 0.3078 | 0.1165 |
| 0.6196 | 2.3143 | 1900 | 0.3005 | 0.1102 |
| 0.6056 | 2.4361 | 2000 | 0.2986 | 0.1145 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 30, 2026
- Updated
- May 30, 2026