metadata
license: bsd-3-clause
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
model-index:
- name: ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50-slower-LR
results: []
ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50-slower-LR
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: 0.7837
- Accuracy: 0.8929
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-06
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 9.3646 | 1.0 | 28 | 6.0136 | 0.0893 |
| 2.9631 | 2.0 | 56 | 2.0175 | 0.5357 |
| 1.2435 | 3.0 | 84 | 1.1471 | 0.7679 |
| 0.7699 | 4.0 | 112 | 0.8559 | 0.875 |
| 0.5911 | 5.0 | 140 | 0.7837 | 0.8929 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2