---
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: 0.1124
- Accuracy: 0.9660

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.4324        | 1.0   | 62   | 3.4330          | 0.0295   |
| 3.4178        | 2.0   | 124  | 3.4067          | 0.0839   |
| 3.3067        | 3.0   | 186  | 3.2018          | 0.3107   |
| 3.0013        | 4.0   | 248  | 2.7640          | 0.5261   |
| 2.5488        | 5.0   | 310  | 2.3188          | 0.6644   |
| 2.1833        | 6.0   | 372  | 1.9013          | 0.7687   |
| 1.7949        | 7.0   | 434  | 1.5320          | 0.8141   |
| 1.5859        | 8.0   | 496  | 1.2519          | 0.8413   |
| 1.2774        | 9.0   | 558  | 1.0155          | 0.8662   |
| 1.1146        | 10.0  | 620  | 0.8348          | 0.8776   |
| 0.9276        | 11.0  | 682  | 0.7070          | 0.8844   |
| 0.7634        | 12.0  | 744  | 0.5845          | 0.8889   |
| 0.726         | 13.0  | 806  | 0.5491          | 0.8866   |
| 0.6325        | 14.0  | 868  | 0.4927          | 0.8707   |
| 0.5525        | 15.0  | 930  | 0.4065          | 0.8866   |
| 0.5051        | 16.0  | 992  | 0.4063          | 0.8798   |
| 0.4543        | 17.0  | 1054 | 0.4166          | 0.8685   |
| 0.4138        | 18.0  | 1116 | 0.3328          | 0.8889   |
| 0.4133        | 19.0  | 1178 | 0.2988          | 0.8934   |
| 0.4087        | 20.0  | 1240 | 0.3092          | 0.8934   |
| 0.3402        | 21.0  | 1302 | 0.2600          | 0.9002   |
| 0.3052        | 22.0  | 1364 | 0.2779          | 0.8957   |
| 0.2792        | 23.0  | 1426 | 0.2318          | 0.9274   |
| 0.3357        | 24.0  | 1488 | 0.2348          | 0.9274   |
| 0.2602        | 25.0  | 1550 | 0.2928          | 0.9274   |
| 0.2582        | 26.0  | 1612 | 0.2410          | 0.9388   |
| 0.1906        | 27.0  | 1674 | 0.2294          | 0.9433   |
| 0.1937        | 28.0  | 1736 | 0.2176          | 0.9456   |
| 0.3112        | 29.0  | 1798 | 0.1707          | 0.9501   |
| 0.1854        | 30.0  | 1860 | 0.1798          | 0.9501   |
| 0.2662        | 31.0  | 1922 | 0.1650          | 0.9546   |
| 0.1892        | 32.0  | 1984 | 0.1636          | 0.9524   |
| 0.1652        | 33.0  | 2046 | 0.1688          | 0.9524   |
| 0.2581        | 34.0  | 2108 | 0.1324          | 0.9615   |
| 0.2007        | 35.0  | 2170 | 0.1400          | 0.9592   |
| 0.1368        | 36.0  | 2232 | 0.1510          | 0.9569   |
| 0.1397        | 37.0  | 2294 | 0.1168          | 0.9637   |
| 0.1604        | 38.0  | 2356 | 0.1203          | 0.9615   |
| 0.1638        | 39.0  | 2418 | 0.1224          | 0.9637   |
| 0.1892        | 40.0  | 2480 | 0.1148          | 0.9592   |
| 0.1647        | 41.0  | 2542 | 0.1004          | 0.9637   |
| 0.1337        | 42.0  | 2604 | 0.1124          | 0.9660   |
| 0.102         | 43.0  | 2666 | 0.1021          | 0.9637   |
| 0.1293        | 44.0  | 2728 | 0.1053          | 0.9615   |
| 0.2035        | 45.0  | 2790 | 0.1033          | 0.9637   |
| 0.1222        | 46.0  | 2852 | 0.1045          | 0.9615   |
| 0.1393        | 47.0  | 2914 | 0.1043          | 0.9615   |
| 0.1271        | 48.0  | 2976 | 0.1055          | 0.9615   |
| 0.1618        | 49.0  | 3038 | 0.1057          | 0.9615   |
| 0.1536        | 50.0  | 3100 | 0.1046          | 0.9615   |


### Framework versions

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