metadata
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ast-finetuned-audioset-10-10-0.4593-finetuned-gunshot
results: []
ast-finetuned-audioset-10-10-0.4593-finetuned-gunshot
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8955
- Accuracy: 0.7647
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.771 | 1.0 | 341 | 1.4439 | 0.6294 |
| 3.4687 | 2.0 | 682 | 1.2804 | 0.6824 |
| 0.7887 | 3.0 | 1023 | 0.5085 | 0.7412 |
| 0.4093 | 4.0 | 1364 | 0.4299 | 0.7882 |
| 0.1765 | 5.0 | 1705 | 0.3885 | 0.8471 |
| 0.1055 | 6.0 | 2046 | 0.4319 | 0.7941 |
| 0.1341 | 7.0 | 2387 | 0.4773 | 0.8 |
| 0.0722 | 8.0 | 2728 | 0.8647 | 0.7412 |
| 0.156 | 9.0 | 3069 | 0.9191 | 0.7647 |
| 0.0377 | 10.0 | 3410 | 0.8955 | 0.7647 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.15.1.dev0
- Tokenizers 0.15.0