
# Respeecher/ukrainian-data2vec-asr

This model is a fine-tuned version of [Respeecher/ukrainian-data2vec](https://huggingface.co/Respeecher/ukrainian-data2vec) on the [Common Voice 11.0 dataset Ukrainian Train part](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/uk/train).
It achieves the following results:
- eval_wer: 17.634350000973198
- test_wer: 17.042283338786351

## How to Get Started with the Model

```python
from transformers import AutoProcessor, Data2VecAudioForCTC
import torch
from datasets import load_dataset, Audio

dataset = load_dataset("mozilla-foundation/common_voice_11_0", "uk", split="test")
# Resample
dataset = dataset.cast_column("audio", Audio(sampling_rate=16_000))

processor = AutoProcessor.from_pretrained("Respeecher/ukrainian-data2vec-asr")
model = Data2VecAudioForCTC.from_pretrained("Respeecher/ukrainian-data2vec-asr")
model.eval()

sampling_rate = dataset.features["audio"].sampling_rate
inputs = processor(dataset[1]["audio"]["array"], sampling_rate=sampling_rate, return_tensors="pt")
with torch.no_grad():
    logits = model(**inputs).logits
predicted_ids = torch.argmax(logits, dim=-1)

transcription = processor.batch_decode(predicted_ids)
transcription[0]
```

## Training Details

Training code and instructions are available on [our github](https://github.com/respeecher/ukrainian_asr)





{"language": ["uk"], "license": "apache-2.0", "datasets": ["mozilla-foundation/common_voice_11_0"], "model-index": [{"name": "ukrainian-data2vec-asr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 11.0", "type": "mozilla-foundation/common_voice_11_0", "config": "uk", "split": "test", "args": "uk"}, "metrics": [{"type": "wer", "value": 17.04228333878635, "name": "Wer"}]}, {"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 11.0", "type": "mozilla-foundation/common_voice_11_0", "config": "uk", "split": "validation", "args": "uk"}, "metrics": [{"type": "wer", "value": 17.6343500009732, "name": "Wer"}]}]}]}
transformers pytorch data2vec-audio automatic-speech-recognition uk dataset:mozilla-foundation/common_voice_11_0 license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #data2vec-audio #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_11_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 


# Respeecher/ukrainian-data2vec-asr

This model is a fine-tuned version of Respeecher/ukrainian-data2vec on the Common Voice 11.0 dataset Ukrainian Train part.
It achieves the following results:
- eval_wer: 17.634350000973198
- test_wer: 17.042283338786351

## How to Get Started with the Model



## Training Details

Training code and instructions are available on our github





# Respeecher/ukrainian-data2vec-asr

This model is a fine-tuned version of Respeecher/ukrainian-data2vec on the Common Voice 11.0 dataset Ukrainian Train part.
It achieves the following results:
- eval_wer: 17.634350000973198
- test_wer: 17.042283338786351 ## How to Get Started with the Model ## Training Details

Training code and instructions are available on our github
TAGS
#transformers #pytorch #data2vec-audio #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_11_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
 # Respeecher/ukrainian-data2vec-asr

This model is a fine-tuned version of Respeecher/ukrainian-data2vec on the Common Voice 11.0 dataset Ukrainian Train part.
It achieves the following results:
- eval_wer: 17.634350000973198
- test_wer: 17.042283338786351 ## How to Get Started with the Model ## Training Details

Training code and instructions are available on our github
TAGS
#transformers #pytorch #data2vec-audio #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_11_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
# Respeecher/ukrainian-data2vec-asr

This model is a fine-tuned version of Respeecher/ukrainian-data2vec on the Common Voice 11.0 dataset Ukrainian Train part.
It achieves the following results:
- eval_wer: 17.634350000973198
- test_wer: 17.042283338786351## How to Get Started with the Model## Training Details

Training code and instructions are available on our github