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Dzo_ASR_xlsr_53
Tashi-Projects/Dzo_ASR_xlsr_53
Dzo_ASR_xlsr_53 is a automatic speech recognition model from Tashi-Projects. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- May 27, 2025
- Updated
- May 27, 2025
- SHA
- 0bf76d68
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. -->
Dzo_ASR_xlsr_53
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5489
- Wer: 0.1957
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.7643 | 1.7544 | 400 | 3.3975 | 1.0 |
| 3.2365 | 3.5088 | 800 | 3.0763 | 0.9975 |
| 3.0169 | 5.2632 | 1200 | 2.3831 | 1.0191 |
| 1.4481 | 7.0175 | 1600 | 0.8834 | 0.5629 |
| 0.8228 | 8.7719 | 2000 | 0.6189 | 0.3965 |
| 0.6329 | 10.5263 | 2400 | 0.5400 | 0.3333 |
| 0.5043 | 12.2807 | 2800 | 0.5054 | 0.2831 |
| 0.4179 | 14.0351 | 3200 | 0.4820 | 0.2625 |
| 0.3599 | 15.7895 | 3600 | 0.4979 | 0.2406 |
| 0.3152 | 17.5439 | 4000 | 0.4816 | 0.2286 |
| 0.2778 | 19.2982 | 4400 | 0.4848 | 0.2183 |
| 0.2557 | 21.0526 | 4800 | 0.4710 | 0.2172 |
| 0.2285 | 22.8070 | 5200 | 0.5168 | 0.2053 |
| 0.2113 | 24.5614 | 5600 | 0.5015 | 0.2013 |
| 0.1992 | 26.3158 | 6000 | 0.5347 | 0.1989 |
| 0.1846 | 28.0702 | 6400 | 0.5403 | 0.1974 |
| 0.1804 | 29.8246 | 6800 | 0.5489 | 0.1957 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 27, 2025
- Updated
- May 27, 2025