---
base_model: Harveenchadha/vakyansh-wav2vec2-kannada-knm-560
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: kannada_wav2vec2_final
  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. -->

# kannada_wav2vec2_final

This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-kannada-knm-560](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-kannada-knm-560) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0031
- Wer: 0.1030

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.2326        | 8.33  | 25   | 0.2090          | 0.3620 |
| 0.2484        | 16.67 | 50   | 0.0718          | 0.1836 |
| 0.1391        | 25.0  | 75   | 0.0482          | 0.1308 |
| 0.0653        | 33.33 | 100  | 0.0091          | 0.1083 |
| 0.0616        | 41.67 | 125  | 0.0039          | 0.1044 |
| 0.0369        | 50.0  | 150  | 0.0031          | 0.1030 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.14.1