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# cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme

This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the nb_samtale dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9174
- Wer: 0.7063

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.82          | 16.67 | 100  | 5.2819          | 0.7336 |
| 2.8834        | 33.33 | 200  | 4.9424          | 0.7091 |
| 2.5387        | 50.0  | 300  | 4.9174          | 0.7063 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["nb_samtale"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-lv-60-espeak-cv-ft", "model-index": [{"name": "cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "nb_samtale", "type": "nb_samtale", "config": "annotations", "split": "test", "args": "annotations"}, "metrics": [{"type": "wer", "value": 0.7063259628056816, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer dataset:nb_samtale base_model:facebook/wav2vec2-lv-60-espeak-cv-ft license:apache-2.0 model-index endpoints_compatible region:us