---
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 old30 adult freq speed pause changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1902
- Cer: 5.1809

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.461         | 0.1289 | 100  | 0.2808          | 6.4732 |
| 0.2699        | 0.2579 | 200  | 0.2328          | 6.2265 |
| 0.2456        | 0.3868 | 300  | 0.2341          | 6.6494 |
| 0.2159        | 0.5158 | 400  | 0.2159          | 6.0033 |
| 0.1958        | 0.6447 | 500  | 0.2121          | 5.9387 |
| 0.1784        | 0.7737 | 600  | 0.2066          | 5.7390 |
| 0.1765        | 0.9026 | 700  | 0.1997          | 5.5745 |
| 0.0805        | 1.0316 | 800  | 0.1957          | 5.5392 |
| 0.0774        | 1.1605 | 900  | 0.1987          | 5.4100 |
| 0.0728        | 1.2895 | 1000 | 0.1965          | 5.2749 |
| 0.0676        | 1.4184 | 1100 | 0.1952          | 5.4159 |
| 0.0629        | 1.5474 | 1200 | 0.1918          | 5.2632 |
| 0.0644        | 1.6763 | 1300 | 0.1916          | 5.2514 |
| 0.0606        | 1.8053 | 1400 | 0.1903          | 5.2984 |
| 0.0664        | 1.9342 | 1500 | 0.1902          | 5.1809 |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1