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# torgo_xlsr_finetune_M01-test

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the torgo dataset.

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30

### Framework versions

- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3

{"language": ["en"], "license": "apache-2.0", "tags": ["audio", "speech", "wav2vec2", "generated_from_trainer"], "model-index": [{"name": "torgo_xlsr_finetune_M01-test", "results": []}]}
transformers pytorch tensorboard safetensors wav2vec2 automatic-speech-recognition audio speech generated_from_trainer en license:apache-2.0 endpoints_compatible region:us