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-Yfreq_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-Yfreq_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: 0.2582
- Cer: 6.8433

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.314         | 0.13  | 100  | 0.2988          | 7.3426 |
| 0.2117        | 0.26  | 200  | 0.2714          | 7.1664 |
| 0.1585        | 0.39  | 300  | 0.2759          | 7.8654 |
| 0.1633        | 0.52  | 400  | 0.2599          | 7.3015 |
| 0.1411        | 0.64  | 500  | 0.2663          | 7.2192 |
| 0.1323        | 0.77  | 600  | 0.2674          | 7.1370 |
| 0.1354        | 0.9   | 700  | 0.2632          | 7.1781 |
| 0.082         | 1.03  | 800  | 0.2599          | 7.0841 |
| 0.0647        | 1.16  | 900  | 0.2590          | 6.9196 |
| 0.078         | 1.29  | 1000 | 0.2601          | 6.8961 |
| 0.0671        | 1.42  | 1100 | 0.2593          | 6.8198 |
| 0.0716        | 1.55  | 1200 | 0.2576          | 6.8609 |
| 0.0699        | 1.68  | 1300 | 0.2581          | 6.7493 |
| 0.0682        | 1.81  | 1400 | 0.2574          | 6.8785 |
| 0.0713        | 1.93  | 1500 | 0.2582          | 6.8433 |


### Framework versions

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