---
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: 1.4807
- Wer: 0.7846

## 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: 1e-05
- train_batch_size: 20
- 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: 500
- num_epochs: 90
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.0074        | 11.3636 | 500  | 3.6612          | 1.0    |
| 2.9103        | 22.7273 | 1000 | 3.2488          | 1.0    |
| 2.8471        | 34.0909 | 1500 | 3.0912          | 1.0    |
| 2.2661        | 45.4545 | 2000 | 2.4130          | 0.9951 |
| 1.4007        | 56.8182 | 2500 | 1.9495          | 0.8854 |
| 1.0587        | 68.1818 | 3000 | 1.6888          | 0.8167 |
| 0.9269        | 79.5455 | 3500 | 1.4807          | 0.7846 |


### Framework versions

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