---
library_name: transformers
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- procit008/STT_Datasetfacebookfemale
metrics:
- wer
model-index:
- name: Whisper Small Rajan
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: STT_Datasetfacebookfemale
      type: procit008/STT_Datasetfacebookfemale
      args: 'config: hi, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 16.285201982913193
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Rajan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the STT_Datasetfacebookfemale dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5347
- Wer: 16.2852

## 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 adamw_torch 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.156         | 2.1882 | 1000 | 0.4294          | 18.9431 |
| 0.0515        | 4.3764 | 2000 | 0.4644          | 16.8864 |
| 0.0099        | 6.5646 | 3000 | 0.5102          | 16.4540 |
| 0.0046        | 8.7527 | 4000 | 0.5347          | 16.2852 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0