---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-present
  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. -->

# wav2vec2-present

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/object dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0866
- Accuracy: 0.9853

## 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: 0
- gradient_accumulation_steps: 2
- 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: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5208        | 1.0   | 1539  | 0.2246          | 0.9425   |
| 0.1232        | 2.0   | 3079  | 0.1606          | 0.9655   |
| 0.2855        | 3.0   | 4618  | 0.1177          | 0.9696   |
| 0.2405        | 4.0   | 6158  | 0.1015          | 0.9793   |
| 0.0272        | 5.0   | 7697  | 0.0853          | 0.9830   |
| 0.1269        | 6.0   | 9237  | 0.1081          | 0.9807   |
| 0.031         | 7.0   | 10776 | 0.0811          | 0.9848   |
| 0.0781        | 8.0   | 12316 | 0.0707          | 0.9848   |
| 0.0317        | 9.0   | 13855 | 0.0851          | 0.9848   |
| 0.068         | 10.0  | 15390 | 0.0866          | 0.9853   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.9.0+cu128
- Datasets 2.13.1
- Tokenizers 0.15.0