---
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: 0.0998
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.4273        | 1.0   | 62   | 3.4237          | 0.0431   |
| 3.4084        | 2.0   | 124  | 3.3905          | 0.1179   |
| 3.3119        | 3.0   | 186  | 3.2305          | 0.2789   |
| 3.0335        | 4.0   | 248  | 2.8316          | 0.3537   |
| 2.5734        | 5.0   | 310  | 2.3766          | 0.4308   |
| 2.1768        | 6.0   | 372  | 1.9373          | 0.5760   |
| 1.8634        | 7.0   | 434  | 1.6130          | 0.6712   |
| 1.6591        | 8.0   | 496  | 1.3387          | 0.7347   |
| 1.3715        | 9.0   | 558  | 1.1461          | 0.7868   |
| 1.1765        | 10.0  | 620  | 0.9773          | 0.8027   |
| 1.0398        | 11.0  | 682  | 0.7819          | 0.8481   |
| 0.845         | 12.0  | 744  | 0.7010          | 0.8549   |
| 0.7978        | 13.0  | 806  | 0.6215          | 0.8662   |
| 0.6727        | 14.0  | 868  | 0.5388          | 0.8707   |
| 0.6023        | 15.0  | 930  | 0.4660          | 0.8844   |
| 0.6219        | 16.0  | 992  | 0.4607          | 0.8844   |
| 0.4981        | 17.0  | 1054 | 0.3918          | 0.8889   |
| 0.4693        | 18.0  | 1116 | 0.3890          | 0.8753   |
| 0.421         | 19.0  | 1178 | 0.3288          | 0.8866   |
| 0.4219        | 20.0  | 1240 | 0.3367          | 0.8934   |
| 0.3775        | 21.0  | 1302 | 0.3176          | 0.8866   |
| 0.3618        | 22.0  | 1364 | 0.3077          | 0.9002   |
| 0.3046        | 23.0  | 1426 | 0.3206          | 0.9093   |
| 0.3092        | 24.0  | 1488 | 0.2413          | 0.9320   |
| 0.2793        | 25.0  | 1550 | 0.2777          | 0.9252   |
| 0.3082        | 26.0  | 1612 | 0.2795          | 0.9274   |
| 0.2147        | 27.0  | 1674 | 0.2467          | 0.9388   |
| 0.1996        | 28.0  | 1736 | 0.2538          | 0.9388   |
| 0.3012        | 29.0  | 1798 | 0.1885          | 0.9501   |
| 0.2203        | 30.0  | 1860 | 0.1916          | 0.9524   |
| 0.2663        | 31.0  | 1922 | 0.2053          | 0.9501   |
| 0.1942        | 32.0  | 1984 | 0.1698          | 0.9524   |
| 0.1852        | 33.0  | 2046 | 0.1689          | 0.9569   |
| 0.2856        | 34.0  | 2108 | 0.1276          | 0.9615   |
| 0.2095        | 35.0  | 2170 | 0.1376          | 0.9592   |
| 0.1791        | 36.0  | 2232 | 0.1346          | 0.9615   |
| 0.1528        | 37.0  | 2294 | 0.1452          | 0.9569   |
| 0.1584        | 38.0  | 2356 | 0.1326          | 0.9524   |
| 0.1868        | 39.0  | 2418 | 0.1309          | 0.9615   |
| 0.1764        | 40.0  | 2480 | 0.1314          | 0.9592   |
| 0.1877        | 41.0  | 2542 | 0.1546          | 0.9546   |
| 0.1319        | 42.0  | 2604 | 0.1505          | 0.9546   |
| 0.1196        | 43.0  | 2666 | 0.1386          | 0.9569   |
| 0.1606        | 44.0  | 2728 | 0.1305          | 0.9569   |
| 0.2146        | 45.0  | 2790 | 0.1088          | 0.9615   |
| 0.1377        | 46.0  | 2852 | 0.1167          | 0.9592   |
| 0.1544        | 47.0  | 2914 | 0.1027          | 0.9637   |
| 0.1396        | 48.0  | 2976 | 0.0998          | 0.9660   |
| 0.1702        | 49.0  | 3038 | 0.0991          | 0.9660   |
| 0.1555        | 50.0  | 3100 | 0.0980          | 0.9660   |


### Framework versions

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