---
language:
- mr
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Tiny Marathi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: mr
      split: test
      args: mr
    metrics:
    - name: Wer
      type: wer
      value: 41.645121785276906
---

<!-- 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 Tiny Marathi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4618
- Wer: 41.6451

## 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: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1600
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6182        | 0.95  | 200  | 0.6224          | 53.6706 |
| 0.4364        | 1.9   | 400  | 0.5200          | 47.2071 |
| 0.3668        | 2.84  | 600  | 0.4830          | 44.4890 |
| 0.294         | 3.79  | 800  | 0.4671          | 42.8562 |
| 0.2729        | 4.74  | 1000 | 0.4642          | 42.1214 |
| 0.2401        | 5.69  | 1200 | 0.4614          | 41.6996 |
| 0.2212        | 6.64  | 1400 | 0.4618          | 41.7778 |
| 0.2093        | 7.58  | 1600 | 0.4618          | 41.6451 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2