transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:byoussef/whisper-large-v2-Ko license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: byoussef/whisper-large-v2-Ko
tags:
- generated_from_trainer
model-index:
- name: trained_model
  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. -->

# trained_model

This model is a fine-tuned version of [byoussef/whisper-large-v2-Ko](https://huggingface.co/byoussef/whisper-large-v2-Ko) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5559
- Cer: 27.1916

## 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: 1
- eval_batch_size: 1
- 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: 17460
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Cer     | Validation Loss |
|:-------------:|:-----:|:-----:|:-------:|:---------------:|
| 1.2023        | 0.44  | 1000  | 61.2630 | 1.0742          |
| 1.1553        | 0.89  | 2000  | 48.5561 | 0.9965          |
| 0.5591        | 1.33  | 3000  | 41.7970 | 1.0181          |
| 0.4999        | 1.78  | 4000  | 42.4589 | 0.9979          |
| 0.3963        | 2.22  | 5000  | 56.0316 | 1.0151          |
| 0.1948        | 2.67  | 6000  | 39.5938 | 1.0179          |
| 0.8484        | 3.11  | 7000  | 42.2062 | 0.8630          |
| 0.4461        | 3.56  | 8000  | 41.4453 | 0.8244          |
| 0.5309        | 4.0   | 9000  | 38.5052 | 0.7959          |
| 0.4761        | 4.44  | 10000 | 0.5227  | 31.4439         |
| 0.5826        | 4.89  | 11000 | 0.5017  | 32.8738         |
| 0.2989        | 5.33  | 12000 | 0.5057  | 29.9159         |
| 0.2387        | 5.78  | 13000 | 0.5043  | 30.0935         |
| 0.079         | 6.22  | 14000 | 0.5264  | 35.1729         |
| 0.19          | 6.67  | 15000 | 0.5234  | 27.0327         |
| 0.1049        | 7.11  | 16000 | 0.5564  | 27.4953         |
| 0.0449        | 7.56  | 17000 | 0.5559  | 27.1916         |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
