---
library_name: transformers
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_adult_baseline
model-index:
- name: whisper-small-Yfreq_speed_pause
  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-Yfreq_speed_pause

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the aihub old50 adult freq speed pause changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1747
- Cer: 4.9107

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 50
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.4171        | 0.1289 | 100  | 0.2695          | 6.4497 |
| 0.2579        | 0.2579 | 200  | 0.2163          | 5.8094 |
| 0.2428        | 0.3868 | 300  | 0.2107          | 5.8329 |
| 0.2151        | 0.5158 | 400  | 0.2013          | 5.6391 |
| 0.1904        | 0.6447 | 500  | 0.1946          | 5.4805 |
| 0.1687        | 0.7737 | 600  | 0.1862          | 5.0576 |
| 0.1739        | 0.9026 | 700  | 0.1814          | 5.3102 |
| 0.0887        | 1.0316 | 800  | 0.1809          | 4.9988 |
| 0.0749        | 1.1605 | 900  | 0.1834          | 5.0341 |
| 0.078         | 1.2895 | 1000 | 0.1778          | 4.9988 |
| 0.0754        | 1.4184 | 1100 | 0.1786          | 5.1457 |
| 0.066         | 1.5474 | 1200 | 0.1748          | 5.0576 |
| 0.0662        | 1.6763 | 1300 | 0.1749          | 4.8872 |
| 0.0604        | 1.8053 | 1400 | 0.1747          | 4.9636 |
| 0.0626        | 1.9342 | 1500 | 0.1747          | 4.9107 |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1