---
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_pause_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-Yfreq_pause_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: 0.2878
- Cer: 7.5012

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2807        | 0.1289 | 100  | 0.2981          | 8.1767 |
| 0.1583        | 0.2579 | 200  | 0.2730          | 7.4777 |
| 0.1217        | 0.3868 | 300  | 0.2803          | 7.9182 |
| 0.1291        | 0.5158 | 400  | 0.2744          | 7.7890 |
| 0.1021        | 0.6447 | 500  | 0.2840          | 8.0416 |
| 0.0941        | 0.7737 | 600  | 0.2933          | 8.1356 |
| 0.1047        | 0.9026 | 700  | 0.2888          | 7.8066 |
| 0.0386        | 1.0309 | 800  | 0.2798          | 7.4013 |
| 0.0268        | 1.1599 | 900  | 0.2794          | 7.2545 |
| 0.0349        | 1.2888 | 1000 | 0.2858          | 7.2780 |
| 0.0292        | 1.4178 | 1100 | 0.2873          | 7.4072 |
| 0.0373        | 1.5467 | 1200 | 0.2876          | 7.4248 |
| 0.0276        | 1.6757 | 1300 | 0.2857          | 7.4542 |
| 0.0287        | 1.8046 | 1400 | 0.2901          | 7.6069 |
| 0.0295        | 1.9336 | 1500 | 0.2878          | 7.5012 |


### Framework versions

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