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

# Audioclasswindows

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6744
- Accuracy: 0.0796

## 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: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.8   | 3    | 2.6364          | 0.1062   |
| No log        | 1.87  | 7    | 2.6465          | 0.0442   |
| 2.6363        | 2.93  | 11   | 2.6420          | 0.0973   |
| 2.6363        | 4.0   | 15   | 2.6543          | 0.0796   |
| 2.6363        | 4.8   | 18   | 2.6579          | 0.0885   |
| 2.6244        | 5.87  | 22   | 2.6587          | 0.0885   |
| 2.6244        | 6.93  | 26   | 2.6608          | 0.0885   |
| 2.6103        | 8.0   | 30   | 2.6632          | 0.0796   |
| 2.6103        | 8.8   | 33   | 2.6664          | 0.0796   |
| 2.6103        | 9.87  | 37   | 2.6692          | 0.0796   |
| 2.6019        | 10.93 | 41   | 2.6722          | 0.0796   |
| 2.6019        | 12.0  | 45   | 2.6740          | 0.0796   |
| 2.6019        | 12.8  | 48   | 2.6744          | 0.0796   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0