Downloads · 30 days
6
2% of all-time downloads
wav2vec2-finetuned-asr
PR7175z/wav2vec2-finetuned-asr
wav2vec2-finetuned-asr is a automatic speech recognition model from PR7175z. 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. --
All-time downloads
267
Public
Parameters
94.4M
4.3 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jan 22, 2026
- Updated
- Sep 11, 2026
- SHA
- 32d65505
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. -->
wav2vec2-finetuned-asr
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4425
- Wer: 0.5418
- Cer: 0.3254
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 20.7630 | 0.3765 | 1000 | 3.5191 | 1.1977 | 0.7212 |
| 7.7150 | 0.7529 | 2000 | 1.2882 | 0.8530 | 0.4638 |
| 6.0799 | 1.1291 | 3000 | 0.9210 | 0.7252 | 0.4022 |
| 5.2488 | 1.5056 | 4000 | 0.8003 | 0.6674 | 0.3770 |
| 4.7571 | 1.8821 | 5000 | 0.6756 | 0.6424 | 0.3592 |
| 4.1901 | 2.2583 | 6000 | 0.6284 | 0.6067 | 0.3555 |
| 3.8641 | 2.6347 | 7000 | 0.5705 | 0.5753 | 0.3428 |
| 3.6315 | 3.0109 | 8000 | 0.5082 | 0.5767 | 0.3401 |
| 3.2256 | 3.3874 | 9000 | 0.4706 | 0.5489 | 0.3297 |
| 3.1323 | 3.7639 | 10000 | 0.4425 | 0.5418 | 0.3254 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 22, 2026
- Updated
- Sep 11, 2026