transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer hi dataset:aihub_elder 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_elder
model-index:
- name: whisper-small-ko-Y_freq_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-ko-Y_freq_speed

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub Y dialogue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2779
- Cer: 10.3383

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5211        | 0.13  | 100  | 0.3156          | 7.5775  |
| 0.3128        | 0.26  | 200  | 0.2816          | 8.0651  |
| 0.2468        | 0.39  | 300  | 0.2944          | 8.4998  |
| 0.2386        | 0.52  | 400  | 0.2764          | 7.9182  |
| 0.2188        | 0.64  | 500  | 0.2806          | 8.8992  |
| 0.195         | 0.77  | 600  | 0.2818          | 8.1473  |
| 0.2067        | 0.9   | 700  | 0.2759          | 8.6114  |
| 0.094         | 1.03  | 800  | 0.2725          | 8.3940  |
| 0.0733        | 1.16  | 900  | 0.2766          | 8.8170  |
| 0.0864        | 1.29  | 1000 | 0.2839          | 8.6701  |
| 0.0831        | 1.42  | 1100 | 0.2810          | 10.7848 |
| 0.0874        | 1.55  | 1200 | 0.2781          | 11.1078 |
| 0.0689        | 1.68  | 1300 | 0.2766          | 10.0329 |
| 0.0752        | 1.81  | 1400 | 0.2771          | 10.4206 |
| 0.0777        | 1.93  | 1500 | 0.2779          | 10.3383 |


### Framework versions

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