Downloads · 30 days
24
5% of all-time downloads
xls-npsc-oh
NbAiLab/xls-npsc-oh
xls-npsc-oh is a automatic speech recognition model from NbAiLab. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc0-1.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
503
Public
Parameters
315M
6.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 50%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc0-1.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Apr 23, 2025
- SHA
- 049677b2
Datasets
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. -->
xls-npsc-oh
This model is a fine-tuned version of KBLab/wav2vec2-large-voxrex on the NBAILAB/NPSC - 48K_MP3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2106
- Wer: 0.8586
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: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.1093 | 2.61 | 1000 | 0.2572 | 0.9293 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.1.dev0
- Tokenizers 0.11.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc0-1.0
- Created
- Mar 2, 2022
- Updated
- Apr 23, 2025