---
library_name: transformers
language:
- mr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- Pranav00009/marathi_aa
model-index:
- name: whisper-small-trained-01
  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-small-trained-01

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the marathi_aa dataset.

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 0.6953          | 102.3585 |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1