transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer hi dataset:aihub_adult_speed base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_adult_speed
model-index:
- name: whisper-small-ko-Y-SA
  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-ko-Y-SA

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub adult speed changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3020
- Cer: 8.4704

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.228         | 0.13  | 100  | 0.3171          | 8.3647  |
| 0.198         | 0.26  | 200  | 0.3088          | 8.6055  |
| 0.1598        | 0.39  | 300  | 0.3301          | 9.3104  |
| 0.1629        | 0.52  | 400  | 0.2979          | 8.1062  |
| 0.1498        | 0.64  | 500  | 0.3000          | 7.8712  |
| 0.128         | 0.77  | 600  | 0.3037          | 7.9770  |
| 0.1291        | 0.9   | 700  | 0.3018          | 7.9124  |
| 0.0707        | 1.03  | 800  | 0.2978          | 7.8301  |
| 0.0595        | 1.16  | 900  | 0.3017          | 7.6128  |
| 0.0655        | 1.29  | 1000 | 0.3085          | 8.1708  |
| 0.056         | 1.42  | 1100 | 0.3127          | 7.7714  |
| 0.0615        | 1.55  | 1200 | 0.2992          | 8.8698  |
| 0.0562        | 1.68  | 1300 | 0.3026          | 8.1826  |
| 0.0574        | 1.81  | 1400 | 0.3212          | 8.5703  |
| 0.0591        | 1.93  | 1500 | 0.3096          | 8.1297  |
| 0.0353        | 2.06  | 1600 | 0.3072          | 8.8170  |
| 0.0331        | 2.19  | 1700 | 0.3009          | 8.2413  |
| 0.0259        | 2.32  | 1800 | 0.3043          | 7.7009  |
| 0.0293        | 2.45  | 1900 | 0.3093          | 8.5468  |
| 0.0305        | 2.58  | 2000 | 0.3066          | 11.0374 |
| 0.028         | 2.71  | 2100 | 0.2957          | 9.6393  |
| 0.0333        | 2.84  | 2200 | 0.2964          | 9.6511  |
| 0.0301        | 2.97  | 2300 | 0.3006          | 7.8184  |
| 0.0171        | 3.09  | 2400 | 0.3011          | 8.1532  |
| 0.0151        | 3.22  | 2500 | 0.3062          | 8.0886  |
| 0.0163        | 3.35  | 2600 | 0.3065          | 8.5761  |
| 0.0218        | 3.48  | 2700 | 0.3019          | 7.7773  |
| 0.023         | 3.61  | 2800 | 0.3022          | 8.1943  |
| 0.0144        | 3.74  | 2900 | 0.3021          | 9.2281  |
| 0.0164        | 3.87  | 3000 | 0.3024          | 8.5350  |
| 0.0211        | 4.0   | 3100 | 0.3020          | 8.4704  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
