metadata
language:
- uz
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_10_0
- generated_from_trainer
- AIRI_UZ
datasets:
- common_voice_10_0
model-index:
- name: uzbek_stt
results: []
AIRI UZ jamoasi a'zolari tomonidan qilingan STT ning eng kichik versiyasi.
Azizbek Biyimbetov, Foziljon To'lqinov, Shaxboz Zohidov, Abduraxim Jabborov, Yahyoxon Rahimov
This model is a fine-tuned version of facebook/wav2vec2-base on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - UZ dataset. It achieves the following results on the evaluation set:
- Loss: 0.5763
- Wer: 0.4502
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4736 | 3.4 | 10000 | 0.6247 | 0.6362 |
| 0.3392 | 6.8 | 20000 | 0.7254 | 0.5605 |
| 0.2085 | 10.19 | 30000 | 0.5465 | 0.5097 |
| 0.1387 | 13.59 | 40000 | 0.5984 | 0.4632 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1