---
license: apache-2.0
base_model: TheAIchemist13/whisper-hindi-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-hindi-base-2
  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. -->

# whisper-hindi-base-2

This model is a fine-tuned version of [TheAIchemist13/whisper-hindi-base](https://huggingface.co/TheAIchemist13/whisper-hindi-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4431
- Wer: 45.1568

## 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: 1.75e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2311        | 0.42  | 250  | 0.4786          | 50.4530 |
| 0.2449        | 0.84  | 500  | 0.4508          | 49.7561 |
| 0.1269        | 1.26  | 750  | 0.4437          | 45.9233 |
| 0.1538        | 1.68  | 1000 | 0.4388          | 48.2927 |
| 0.0864        | 2.1   | 1250 | 0.4283          | 44.9477 |
| 0.0885        | 2.52  | 1500 | 0.4429          | 44.8780 |
| 0.0765        | 2.94  | 1750 | 0.4405          | 46.2718 |
| 0.0614        | 3.36  | 2000 | 0.4431          | 45.1568 |


### Framework versions

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