Downloads · 30 days
4
0% of all-time downloads
w2v-bert-2.0-waxal_lin_sna-1epoch
ayymen/w2v-bert-2.0-waxal_lin_sna-1epoch
w2v-bert-2.0-waxal_lin_sna-1epoch is a automatic speech recognition model from ayymen. 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. --
All-time downloads
967
Public
Parameters
606M
36.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt4.8 GB · 50%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 1ea9a43c
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. -->
w2v-bert-2.0-waxal_lin_sna-1epoch
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the ./WAXAL_LIN_SNA - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.3524
- Wer: 0.3383
- Cer: 0.1054
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.7427 | 0.2236 | 250 | 0.4935 | 0.4386 | 0.1293 |
| 0.6489 | 0.4472 | 500 | 0.4214 | 0.3674 | 0.1133 |
| 0.3253 | 0.6708 | 750 | 0.3839 | 0.3446 | 0.1077 |
| 0.3311 | 0.8945 | 1000 | 0.3524 | 0.3381 | 0.1054 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.8.0+cu128
- Datasets 5.0.1
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026