---
library_name: transformers
language:
- he
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small He - Sanchit Gandhi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: he
      split: test
      args: 'config: he, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 71.81719260065287
---

<!-- 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 He - Sanchit Gandhi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9486
- Wer: 71.8172

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.1591        | 5.1948  | 400  | 0.6390          | 74.0479 |
| 0.0164        | 10.3896 | 800  | 0.7373          | 74.3199 |
| 0.0078        | 15.5844 | 1200 | 0.8321          | 73.3950 |
| 0.0028        | 20.7792 | 1600 | 0.8744          | 74.2111 |
| 0.0012        | 25.9740 | 2000 | 0.9024          | 71.8172 |
| 0.0003        | 31.1688 | 2400 | 0.9137          | 72.0348 |
| 0.0002        | 36.3636 | 2800 | 0.9279          | 71.8172 |
| 0.0002        | 41.5584 | 3200 | 0.9391          | 71.8172 |
| 0.0002        | 46.7532 | 3600 | 0.9457          | 71.8172 |
| 0.0002        | 51.9481 | 4000 | 0.9486          | 71.8172 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1