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# wav2vec2-tiny-random-rodela-classifier

This model is a fine-tuned version of [patrickvonplaten/wav2vec2_tiny_random](https://huggingface.co/patrickvonplaten/wav2vec2_tiny_random) on [shhossain/rodela_dataset](https://huggingface.co/datasets/shhossain/rodela_dataset) dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7650
- eval_accuracy: 0.9102
- eval_runtime: 0.2323
- eval_samples_per_second: 1054.546
- eval_steps_per_second: 133.432
- epoch: 37.0
- step: 4551

## Model description

It classifies if a audio has `rodela` in it.

## Intended uses & limitations

It was designed for `Wake Word Detection`.

## How to use
```python
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("audio-classification", model="shhossain/wav2vec2-tiny-random-rodela-classifier")
pipe("my_audio.mp3")
```

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- total_train_batch_size: 4.0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- gradient_accumulation_steps: .5

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
{"language": ["en", "bn"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["shhossain/rodela_dataset"], "metrics": ["accuracy"], "base_model": "patrickvonplaten/wav2vec2_tiny_random", "pipeline_tag": "audio-classification", "model-index": [{"name": "wav2vec2-tiny-random-rodela-classifier", "results": [{"task": {"type": "audio-classification"}, "dataset": {"name": "rodela_dataset", "type": "test"}, "metrics": [{"type": "accuracy", "value": 0.91, "name": "accuracy"}]}]}]}
transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer en bn dataset:shhossain/rodela_dataset base_model:patrickvonplaten/wav2vec2_tiny_random license:apache-2.0 model-index endpoints_compatible region:us