---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: krishivoice
  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. -->

# krishivoice

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6148
- Wer: 0.2809

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 0.3768        | 9.0909  | 1000  | 0.5920          | 0.4378 |
| 0.1392        | 18.1818 | 2000  | 0.5513          | 0.3537 |
| 0.0823        | 27.2727 | 3000  | 0.5021          | 0.3260 |
| 0.0566        | 36.3636 | 4000  | 0.5473          | 0.3163 |
| 0.0886        | 45.4545 | 5000  | 0.5637          | 0.3098 |
| 0.0368        | 54.5455 | 6000  | 0.5558          | 0.3004 |
| 0.0264        | 63.6364 | 7000  | 0.6315          | 0.2919 |
| 0.0214        | 72.7273 | 8000  | 0.5927          | 0.2902 |
| 0.0124        | 81.8182 | 9000  | 0.6936          | 0.2874 |
| 0.0132        | 90.9091 | 10000 | 0.6311          | 0.2858 |
| 0.0094        | 100.0   | 11000 | 0.6148          | 0.2809 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1