---
base_model: HariprasathSB/indic-whisper-vulnerable
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: indic-whisper-vulnerable1
  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. -->

# indic-whisper-vulnerable1

This model is a fine-tuned version of [HariprasathSB/indic-whisper-vulnerable](https://huggingface.co/HariprasathSB/indic-whisper-vulnerable) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0378
- Wer: 72.3914

## 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: 4
- 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
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0175        | 0.8811 | 200  | 0.9461          | 75.1567 |
| 0.0294        | 1.7621 | 400  | 0.9488          | 75.5710 |
| 0.0227        | 2.6432 | 600  | 0.9532          | 73.7349 |
| 0.0123        | 3.5242 | 800  | 0.9391          | 74.6865 |
| 0.0059        | 4.4053 | 1000 | 1.0054          | 73.3318 |
| 0.0032        | 5.2863 | 1200 | 1.0145          | 75.1008 |
| 0.0022        | 6.1674 | 1400 | 1.0115          | 73.1975 |
| 0.0011        | 7.0485 | 1600 | 1.0310          | 72.8168 |
| 0.0008        | 7.9295 | 1800 | 1.0431          | 72.4250 |
| 0.0002        | 8.8106 | 2000 | 1.0378          | 72.3914 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1