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---
language:
- ky
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- ky
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: sammy786/wav2vec2-xlsr-kyrgyz
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8
type: mozilla-foundation/common_voice_8_0
args: ky
metrics:
- name: Test WER
type: wer
value: 25.24
- name: Test CER
type: cer
value: 6.25
---
# sammy786/wav2vec2-xlsr-kyrgyz
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - ky dataset.
It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
- Loss: 43.06
- Wer: 39.19
## Model description
"facebook/wav2vec2-xls-r-1b" was finetuned.
## Intended uses & limitations
More information needed
## Training and evaluation data
Training data -
Common voice Finnish train.tsv, dev.tsv and other.tsv
## Training procedure
For creating the train dataset, all possible datasets were appended and 90-10 split was used.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.000045637994662983496
- train_batch_size: 8
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Step | Training Loss | Validation Loss | Wer |
|------|---------------|-----------------|----------|
| 200 | 5.357800 | 2.700367 | 1.000000 |
| 400 | 1.513600 | 0.642542 | 0.598820 |
| 600 | 0.961900 | 0.530665 | 0.502739 |
| 800 | 0.776000 | 0.507709 | 0.462705 |
| 1000 | 0.646100 | 0.453115 | 0.444164 |
| 1200 | 0.581200 | 0.454797 | 0.438264 |
| 1400 | 0.437900 | 0.459389 | 0.426464 |
| 1600 | 0.348600 | 0.401247 | 0.416351 |
| 1800 | 0.312800 | 0.436135 | 0.409608 |
| 2000 | 0.294100 | 0.440911 | 0.398651 |
| 2200 | 0.281400 | 0.432729 | 0.394016 |
| 2400 | 0.258400 | 0.429860 | 0.393595 |
| 2600 | 0.263700 | 0.432689 | 0.395280 |
| 2800 | 0.256900 | 0.430672 | 0.391909 |
### Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.10.3
#### Evaluation Commands
1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`
```bash
python eval.py --model_id sammy786/wav2vec2-xlsr-kyrgyz --dataset mozilla-foundation/common_voice_8_0 --config ky --split test
``` |