---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audioclass-alpha
  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. -->

# audioclass-alpha

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0963
- Accuracy: 0.9819

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.3678        | 1.0   | 62   | 3.3612          | 0.0408   |
| 3.349         | 2.0   | 124  | 3.3402          | 0.0385   |
| 3.2935        | 3.0   | 186  | 3.2047          | 0.2494   |
| 2.9643        | 4.0   | 248  | 2.7250          | 0.5102   |
| 2.4158        | 5.0   | 310  | 2.1914          | 0.6621   |
| 1.9634        | 6.0   | 372  | 1.7440          | 0.7800   |
| 1.6144        | 7.0   | 434  | 1.3680          | 0.8503   |
| 1.2939        | 8.0   | 496  | 1.0948          | 0.8390   |
| 1.0933        | 9.0   | 558  | 0.8783          | 0.8776   |
| 0.8596        | 10.0  | 620  | 0.7053          | 0.9048   |
| 0.6664        | 11.0  | 682  | 0.6020          | 0.9184   |
| 0.5843        | 12.0  | 744  | 0.5392          | 0.9048   |
| 0.5714        | 13.0  | 806  | 0.4380          | 0.9297   |
| 0.4395        | 14.0  | 868  | 0.4434          | 0.9252   |
| 0.323         | 15.0  | 930  | 0.3000          | 0.9524   |
| 0.3218        | 16.0  | 992  | 0.2418          | 0.9546   |
| 0.3026        | 17.0  | 1054 | 0.2462          | 0.9524   |
| 0.2531        | 18.0  | 1116 | 0.2003          | 0.9660   |
| 0.2702        | 19.0  | 1178 | 0.1883          | 0.9637   |
| 0.2368        | 20.0  | 1240 | 0.1612          | 0.9728   |
| 0.2121        | 21.0  | 1302 | 0.1981          | 0.9637   |
| 0.2011        | 22.0  | 1364 | 0.1635          | 0.9683   |
| 0.1875        | 23.0  | 1426 | 0.1454          | 0.9728   |
| 0.1415        | 24.0  | 1488 | 0.1433          | 0.9683   |
| 0.1162        | 25.0  | 1550 | 0.1504          | 0.9660   |
| 0.0946        | 26.0  | 1612 | 0.1759          | 0.9615   |
| 0.1032        | 27.0  | 1674 | 0.1206          | 0.9751   |
| 0.095         | 28.0  | 1736 | 0.1123          | 0.9773   |
| 0.1526        | 29.0  | 1798 | 0.1267          | 0.9728   |
| 0.1003        | 30.0  | 1860 | 0.0953          | 0.9796   |
| 0.1371        | 31.0  | 1922 | 0.1158          | 0.9751   |
| 0.0765        | 32.0  | 1984 | 0.0963          | 0.9819   |
| 0.1152        | 33.0  | 2046 | 0.0929          | 0.9819   |
| 0.1344        | 34.0  | 2108 | 0.1103          | 0.9796   |
| 0.1067        | 35.0  | 2170 | 0.1065          | 0.9773   |
| 0.0847        | 36.0  | 2232 | 0.0898          | 0.9819   |
| 0.0835        | 37.0  | 2294 | 0.0934          | 0.9819   |
| 0.1009        | 38.0  | 2356 | 0.1136          | 0.9796   |
| 0.1272        | 39.0  | 2418 | 0.1315          | 0.9751   |
| 0.0463        | 40.0  | 2480 | 0.1127          | 0.9796   |
| 0.085         | 41.0  | 2542 | 0.0985          | 0.9796   |
| 0.0431        | 42.0  | 2604 | 0.0964          | 0.9773   |
| 0.0698        | 43.0  | 2666 | 0.1128          | 0.9773   |
| 0.0493        | 44.0  | 2728 | 0.0934          | 0.9796   |
| 0.1208        | 45.0  | 2790 | 0.0882          | 0.9819   |
| 0.0536        | 46.0  | 2852 | 0.0932          | 0.9796   |
| 0.064         | 47.0  | 2914 | 0.1008          | 0.9796   |
| 0.0538        | 48.0  | 2976 | 0.1094          | 0.9796   |
| 0.0774        | 49.0  | 3038 | 0.1081          | 0.9796   |
| 0.0379        | 50.0  | 3100 | 0.1085          | 0.9796   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1