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# w2v-bert-2.0-ukrainian-colab-CV16.0

This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1438
- Wer: 0.0987

Note: the model was finetuned on Ukrainian alphabet in lowercase plus "'" sign. Therefore this model can't add punctuation or capitalization.

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0371        | 1.98  | 525  | 0.1509          | 0.1498 |
| 0.0728        | 3.96  | 1050 | 0.1256          | 0.1279 |
| 0.0382        | 5.94  | 1575 | 0.1260          | 0.1041 |
| 0.0213        | 7.92  | 2100 | 0.1333          | 0.0997 |
| 0.0118        | 9.91  | 2625 | 0.1438          | 0.0987 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.1
{"language": ["uk"], "license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "ylacombe/w2v-bert-2.0", "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "w2v-bert-2.0-ukrainian-colab-CV16.0", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "mozilla-foundation/common_voice_16_1", "type": "mozilla-foundation/common_voice_16_1", "config": "uk", "split": "test", "args": "uk"}, "metrics": [{"type": "wer", "value": 0.0987, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2-bert automatic-speech-recognition generated_from_trainer uk dataset:mozilla-foundation/common_voice_16_1 base_model:ylacombe/w2v-bert-2.0 license:mit model-index endpoints_compatible has_space region:us