---
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 adult freq speed pause changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2927
- Cer: 8.0005

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.5366        | 0.1289 | 100  | 0.3253          | 7.5188 |
| 0.3269        | 0.2579 | 200  | 0.2791          | 7.6774 |
| 0.2556        | 0.3868 | 300  | 0.2950          | 8.5409 |
| 0.2501        | 0.5158 | 400  | 0.2780          | 8.0651 |
| 0.2298        | 0.6447 | 500  | 0.2817          | 8.1297 |
| 0.2007        | 0.7737 | 600  | 0.2876          | 8.0122 |
| 0.2087        | 0.9026 | 700  | 0.2859          | 8.0710 |
| 0.0952        | 1.0316 | 800  | 0.2805          | 7.6245 |
| 0.0764        | 1.1605 | 900  | 0.2852          | 7.7655 |
| 0.0845        | 1.2895 | 1000 | 0.2918          | 8.0592 |
| 0.0852        | 1.4184 | 1100 | 0.2913          | 8.0122 |
| 0.0847        | 1.5474 | 1200 | 0.2892          | 7.8184 |
| 0.0687        | 1.6763 | 1300 | 0.2890          | 7.9241 |
| 0.0713        | 1.8053 | 1400 | 0.2919          | 7.9652 |
| 0.0735        | 1.9342 | 1500 | 0.2927          | 8.0005 |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0