---
license: apache-2.0
base_model: yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-indian-language-classification-featureExtractor
  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. -->

# wav2vec2-large-xlsr-indian-language-classification-featureExtractor

This model is a fine-tuned version of [yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor](https://huggingface.co/yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3117
- Accuracy: 0.9323

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0559        | 5.28  | 1000  | 0.3097          | 0.9191   |
| 0.047         | 10.56 | 2000  | 0.3482          | 0.9191   |
| 0.0402        | 15.84 | 3000  | 0.3890          | 0.9080   |
| 0.0328        | 21.12 | 4000  | 0.3746          | 0.9150   |
| 0.0189        | 26.4  | 5000  | 0.4274          | 0.9113   |
| 0.0187        | 31.68 | 6000  | 0.4131          | 0.9101   |
| 0.0203        | 36.96 | 7000  | 0.3643          | 0.9237   |
| 0.0147        | 42.24 | 8000  | 0.3574          | 0.9295   |
| 0.0148        | 47.52 | 9000  | 0.3653          | 0.9220   |
| 0.0137        | 52.81 | 10000 | 0.3257          | 0.9352   |
| 0.0174        | 58.09 | 11000 | 0.3097          | 0.9340   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3