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# wav2vec2-common_voice-af-demo

This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - AF dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 1.0

## 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: 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: 15.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.15.0

{"language": ["af"], "tags": ["automatic-speech-recognition", "mozilla-foundation/common_voice_16_0", "generated_from_trainer"], "datasets": ["common_voice_16_0"], "metrics": ["wer"], "base_model": "ylacombe/w2v-bert-2.0", "model-index": [{"name": "wav2vec2-common_voice-af-demo", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - AF", "type": "common_voice_16_0", "config": "af", "split": "test", "args": "Config: af, Training split: train+validation, Eval split: test"}, "metrics": [{"type": "wer", "value": 1.0, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2-conformer automatic-speech-recognition mozilla-foundation/common_voice_16_0 generated_from_trainer af dataset:common_voice_16_0 base_model:ylacombe/w2v-bert-2.0 model-index endpoints_compatible region:us