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model2024-05-21

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model2024-05-21
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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: 0.9644063393089114
---

<!-- 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: 0.1111
- Accuracy: 0.9644

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1357        | 1.0   | 481  | 0.1594          | 0.9478   |
| 0.1284        | 2.0   | 962  | 0.1486          | 0.9492   |
| 0.1231        | 3.0   | 1443 | 0.1359          | 0.9550   |
| 0.1155        | 4.0   | 1925 | 0.1161          | 0.9622   |
| 0.0944        | 5.0   | 2405 | 0.1111          | 0.9644   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2