---
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-E10_Yfreq_speed
  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-E10_Yfreq_speed

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: 0.2283
- Cer: 6.1736

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2612        | 0.1289 | 100  | 0.2864          | 7.4836 |
| 0.1602        | 0.2579 | 200  | 0.2540          | 6.8492 |
| 0.126         | 0.3868 | 300  | 0.2559          | 6.9960 |
| 0.1277        | 0.5158 | 400  | 0.2460          | 7.0019 |
| 0.1111        | 0.6447 | 500  | 0.2426          | 6.7434 |
| 0.1045        | 0.7737 | 600  | 0.2386          | 6.4262 |
| 0.1021        | 0.9026 | 700  | 0.2377          | 6.3029 |
| 0.0431        | 1.0309 | 800  | 0.2263          | 6.1090 |
| 0.0314        | 1.1599 | 900  | 0.2312          | 6.1443 |
| 0.0389        | 1.2888 | 1000 | 0.2326          | 6.3029 |
| 0.0366        | 1.4178 | 1100 | 0.2314          | 6.0503 |
| 0.0403        | 1.5467 | 1200 | 0.2315          | 6.1031 |
| 0.0374        | 1.6757 | 1300 | 0.2286          | 5.9915 |
| 0.0339        | 1.8046 | 1400 | 0.2278          | 6.0503 |
| 0.0385        | 1.9336 | 1500 | 0.2283          | 6.1736 |


### Framework versions

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