---
base_model: patrickvonplaten/wav2vec2_tiny_random
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-tiny-random-rodela-classifier
  results: []
---

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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 an unknown 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

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: 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

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2