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---
license: bsd-3-clause
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ast_binary_6-finetuned-ICBHI
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ast_binary_6-finetuned-ICBHI
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:
- Loss: 0.6811
- Accuracy: 0.6
- Sensitivity: 0.6593
- Specificity: 0.5558
- Score: 0.6075
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sensitivity | Specificity | Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-----------:|:------:|
| 0.6592 | 1.0 | 259 | 0.6811 | 0.6 | 0.6593 | 0.5558 | 0.6075 |
| 0.5766 | 2.0 | 518 | 0.7937 | 0.5779 | 0.5939 | 0.5659 | 0.5799 |
| 0.5117 | 3.0 | 777 | 1.0242 | 0.5267 | 0.8139 | 0.3124 | 0.5632 |
| 0.5407 | 4.0 | 1036 | 0.9152 | 0.5445 | 0.8088 | 0.3473 | 0.5781 |
| 0.4504 | 5.0 | 1295 | 0.9963 | 0.5401 | 0.7596 | 0.3764 | 0.5680 |
| 0.4304 | 6.0 | 1554 | 0.9598 | 0.5579 | 0.6814 | 0.4658 | 0.5736 |
| 0.4132 | 7.0 | 1813 | 0.9771 | 0.5506 | 0.6950 | 0.4430 | 0.5690 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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