---
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-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-Yspeed

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: 0.2665
- Cer: 6.9314

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2702        | 0.1289 | 100  | 0.2968          | 8.0592 |
| 0.145         | 0.2579 | 200  | 0.2709          | 7.3661 |
| 0.1116        | 0.3868 | 300  | 0.2877          | 7.8242 |
| 0.1197        | 0.5158 | 400  | 0.2675          | 7.1781 |
| 0.0991        | 0.6447 | 500  | 0.2769          | 7.5540 |
| 0.0936        | 0.7737 | 600  | 0.2747          | 7.3543 |
| 0.0992        | 0.9026 | 700  | 0.2670          | 7.0841 |
| 0.0401        | 1.0309 | 800  | 0.2636          | 8.5468 |
| 0.0292        | 1.1599 | 900  | 0.2653          | 6.8080 |
| 0.0392        | 1.2888 | 1000 | 0.2651          | 7.0312 |
| 0.0324        | 1.4178 | 1100 | 0.2712          | 7.0430 |
| 0.0388        | 1.5467 | 1200 | 0.2690          | 7.0254 |
| 0.0313        | 1.6757 | 1300 | 0.2674          | 7.0195 |
| 0.0321        | 1.8046 | 1400 | 0.2647          | 7.0019 |
| 0.0322        | 1.9336 | 1500 | 0.2665          | 6.9314 |


### Framework versions

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