---
pipeline_tag: audio-classification
datasets:
- common_language
---
# Language Classification

A model trained for language classification. Thanks to @sanchit-gandhi for [this code](https://huggingface.co/sanchit-gandhi/whisper-base-ft-common-language-id) which was used to train the model.

This model was trained for 15 epochs.

## Evaluation

It achieves the following results on the evaluation set:
- Loss: 1.1229
- Accuracy: 0.7401

## Hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15.0
- mixed_precision_training: Native AMP

## Training Results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.1638        | 1.0   | 347  | 3.0152          | 0.4200   |
| 2.0788        | 2.0   | 694  | 1.9700          | 0.5504   |
| 1.4236        | 3.0   | 1041 | 1.5048          | 0.6374   |
| 1.0305        | 4.0   | 1388 | 1.2979          | 0.6685   |
| 0.7651        | 5.0   | 1735 | 1.1692          | 0.7023   |
| 0.5782        | 6.0   | 2082 | 1.0896          | 0.7227   |
| 0.4483        | 7.0   | 2429 | 1.0605          | 0.7198   |
| 0.3253        | 8.0   | 2776 | 1.0255          | 0.7376   |
| 0.2589        | 9.0   | 3123 | 1.0478          | 0.7354   |
| 0.1825        | 10.0  | 3470 | 1.0677          | 0.7318   |
| 0.1489        | 11.0  | 3817 | 1.0946          | 0.7373   |
| 0.1274        | 12.0  | 4164 | 1.1180          | 0.7376   |
| 0.1074        | 13.0  | 4511 | 1.1229          | 0.7401   |
| 0.0979        | 14.0  | 4858 | 1.1523          | 0.7383   |
| 0.0914        | 15.0  | 5205 | 1.1498          | 0.7401   |