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# step6-end-of-pipeline

This model is a fine-tuned version of [ezishiri/end_of_step3](https://huggingface.co/ezishiri/end_of_step3) on the None 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 3
- total_train_batch_size: 192
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "ezishiri/end_of_step3", "model-index": [{"name": "step6-end-of-pipeline", "results": []}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:ezishiri/end_of_step3 endpoints_compatible region:us