---
base_model: zainulhakim/241103_wav2vec2_Augmented_Dataset
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: augmented_indians_dataset_client2
  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. -->

# augmented_indians_dataset_client2

This model is a fine-tuned version of [zainulhakim/241103_wav2vec2_Augmented_Dataset](https://huggingface.co/zainulhakim/241103_wav2vec2_Augmented_Dataset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7949
- Wer: 0.5314
- Cer: 0.2484

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| No log        | 1.0   | 156  | 1.6021          | 0.7371 | 0.5976 |
| No log        | 2.0   | 312  | 1.0143          | 0.6057 | 0.3627 |
| No log        | 3.0   | 468  | 0.7949          | 0.5314 | 0.2484 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1