---
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-E30_Yspeed
  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-E30_Yspeed

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1835
- Cer: 4.8520

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2793        | 0.1289 | 100  | 0.2591          | 6.6318 |
| 0.1561        | 0.2579 | 200  | 0.2254          | 6.1560 |
| 0.1532        | 0.3868 | 300  | 0.2258          | 6.3205 |
| 0.1394        | 0.5158 | 400  | 0.2110          | 5.7096 |
| 0.1102        | 0.6447 | 500  | 0.2068          | 5.6391 |
| 0.1085        | 0.7737 | 600  | 0.2006          | 5.4159 |
| 0.108         | 0.9026 | 700  | 0.1983          | 5.5392 |
| 0.0547        | 1.0309 | 800  | 0.1861          | 5.1046 |
| 0.0462        | 1.1599 | 900  | 0.1899          | 4.9225 |
| 0.045         | 1.2888 | 1000 | 0.1920          | 5.0399 |
| 0.0407        | 1.4178 | 1100 | 0.1881          | 4.8167 |
| 0.0391        | 1.5467 | 1200 | 0.1845          | 4.7227 |
| 0.0403        | 1.6757 | 1300 | 0.1855          | 5.1222 |
| 0.0378        | 1.8046 | 1400 | 0.1846          | 4.8461 |
| 0.041         | 1.9336 | 1500 | 0.1835          | 4.8520 |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3