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-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_freq_speed-SA

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: 0.2816
- Cer: 8.0005

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6525        | 0.13  | 100  | 0.3531          | 8.5938 |
| 0.4301        | 0.26  | 200  | 0.2857          | 8.5879 |
| 0.3031        | 0.39  | 300  | 0.3006          | 8.6760 |
| 0.3082        | 0.52  | 400  | 0.2781          | 7.8947 |
| 0.29          | 0.64  | 500  | 0.2854          | 8.2237 |
| 0.2689        | 0.77  | 600  | 0.2839          | 8.1180 |
| 0.2532        | 0.9   | 700  | 0.2868          | 8.2061 |
| 0.1786        | 1.03  | 800  | 0.2843          | 8.6231 |
| 0.1446        | 1.16  | 900  | 0.2839          | 8.3882 |
| 0.157         | 1.29  | 1000 | 0.2855          | 8.2413 |
| 0.1468        | 1.42  | 1100 | 0.2828          | 7.9770 |
| 0.1503        | 1.55  | 1200 | 0.2796          | 8.0710 |
| 0.1464        | 1.68  | 1300 | 0.2800          | 7.9711 |
| 0.1377        | 1.81  | 1400 | 0.2819          | 8.1356 |
| 0.1329        | 1.93  | 1500 | 0.2816          | 8.0005 |


### Framework versions

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