Downloads · 30 days
11
3% of all-time downloads
wav2vec2-large-xlsr-53k-russian
lsnoo/wav2vec2-large-xlsr-53k-russian
wav2vec2-large-xlsr-53k-russian is a automatic speech recognition model from lsnoo. 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
323
Public
Repo size
13.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 19, 2022
- Updated
- Aug 26, 2022
- SHA
- eaf24783
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. -->
wav2vec2-large-xlsr-53k-russian
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2660
- Wer: 0.2052
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: 96
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|
| 4.2873 | 1.09 | 400 | 0.8580 | 0.8982 |
| 0.4728 | 2.19 | 800 | 0.3182 | 0.3892 |
| 0.1639 | 9.83 | 1200 | 0.2374 | 0.2646 |
| 0.1014 | 13.11 | 1600 | 0.2470 | 0.2467 |
| 0.0754 | 16.39 | 2000 | 0.2516 | 0.2337 |
| 0.0616 | 19.67 | 2400 | 0.2559 | 0.2237 |
| 0.0505 | 22.95 | 2800 | 0.2557 | 0.2155 |
| 0.0437 | 26.23 | 3200 | 0.2711 | 0.2099 |
| 0.0377 | 29.51 | 3600 | 0.2660 | 0.2052 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 19, 2022
- Updated
- Aug 26, 2022