transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:aihub.or.kr base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us
---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub.or.kr
base_model: openai/whisper-medium
model-index:
- name: whisper_medium_tele
  results: []
---

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# whisper_medium_tele

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the telephone dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2818
- Cer: 100.1649

## 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: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3365        | 0.56  | 1000 | 0.3299          | 100.0    |
| 0.1956        | 1.13  | 2000 | 0.2977          | 99.9842  |
| 0.1783        | 1.69  | 3000 | 0.2822          | 99.9068  |
| 0.1185        | 2.25  | 4000 | 0.2818          | 100.1649 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
