---
base_model: Harveenchadha/vakyansh-wav2vec2-kannada-knm-560
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: kannada_beekeeping_wav2vec2
  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_beekeeping_wav2vec2

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: 0.5026
- Wer: 0.3540

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 10.7351       | 1.21  | 35   | 1.7314          | 0.7609 |
| 1.3444        | 2.41  | 70   | 0.7849          | 0.4993 |
| 0.8992        | 3.62  | 105  | 0.6112          | 0.3857 |
| 0.6347        | 4.83  | 140  | 0.5026          | 0.3540 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1