transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:aihub.or.kr base_model:cwchoi/whisper_medium_tele 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: cwchoi/whisper_medium_tele
model-index:
- name: whisper_medium_tele_j04
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper_medium_tele_j04

This model is a fine-tuned version of [cwchoi/whisper_medium_tele](https://huggingface.co/cwchoi/whisper_medium_tele) on the telephone dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2685
- Cer: 98.1710

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3363        | 0.2   | 1000 | 0.3179          | 97.6261 |
| 0.2821        | 0.4   | 2000 | 0.2957          | 96.6862 |
| 0.2838        | 0.6   | 3000 | 0.2787          | 96.5971 |
| 0.2625        | 0.8   | 4000 | 0.2685          | 98.1710 |


### Framework versions

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