---
library_name: transformers
license: apache-2.0
base_model: leahkerry/audiotutorial_model2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audiotutorial_model2
  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. -->

# audiotutorial_model2

This model is a fine-tuned version of [leahkerry/audiotutorial_model2](https://huggingface.co/leahkerry/audiotutorial_model2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5924
- Accuracy: 0.2667

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 13.0388       | 1.0   | 23   | 1.8670          | 0.2667   |
| 7.8785        | 2.0   | 46   | 1.5893          | 0.2889   |
| 6.4881        | 3.0   | 69   | 1.5805          | 0.2667   |
| 6.4153        | 4.0   | 92   | 1.5860          | 0.2667   |
| 6.4293        | 4.8   | 110  | 1.5924          | 0.2667   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0