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HO_ASR-Model_KIIT2025_v3
DipsankarSinha/HO_ASR-Model_KIIT2025_v3
HO_ASR-Model_KIIT2025_v3 is a automatic speech recognition model from DipsankarSinha. 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
- Sep 1, 2025
- Updated
- Sep 2, 2025
- SHA
- 17f8ad23
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. -->
HO_ASR-Model_KIIT2025_v3
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: inf
- Wer: 0.5075
- Cer: 0.1778
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_FUSED 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 | Cer |
|---|---|---|---|---|---|
| 0.7754 | 0.7526 | 400 | inf | 0.7222 | 0.2516 |
| 0.5299 | 1.5042 | 800 | inf | 0.6032 | 0.2017 |
| 0.4254 | 2.2559 | 1200 | inf | 0.5733 | 0.1903 |
| 0.4036 | 3.0075 | 1600 | inf | 0.5588 | 0.1870 |
| 0.3805 | 3.7601 | 2000 | inf | 0.5613 | 0.1887 |
| 0.3593 | 4.5118 | 2400 | inf | 0.5075 | 0.1777 |
| 0.3289 | 5.2634 | 2800 | inf | 0.5155 | 0.1778 |
| 0.3259 | 6.0151 | 3200 | inf | 0.5583 | 0.1901 |
| 0.305 | 6.7676 | 3600 | inf | 0.5089 | 0.1736 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 1, 2025
- Updated
- Sep 2, 2025