---
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50
  results: []
---

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# ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50

This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3787
- eval_accuracy: 0.8929
- eval_runtime: 6.2912
- eval_samples_per_second: 8.901
- eval_steps_per_second: 4.451
- epoch: 1.0
- step: 28

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2