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---
license: apache-2.0
base_model: sravan-gorugantu/model2024-05-20
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: model2024-05-21
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: audiofolder
type: audiofolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9944099378881988
---
<!-- 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. -->
# model2024-05-21
This model is a fine-tuned version of [sravan-gorugantu/model2024-05-20](https://huggingface.co/sravan-gorugantu/model2024-05-20) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0904
- Accuracy: 0.9944
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6962 | 0.94 | 12 | 0.4940 | 0.9652 |
| 0.452 | 1.96 | 25 | 0.2294 | 0.9901 |
| 0.2681 | 2.98 | 38 | 0.1292 | 0.9932 |
| 0.1245 | 4.0 | 51 | 0.0975 | 0.9938 |
| 0.1112 | 4.71 | 60 | 0.0904 | 0.9944 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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