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---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large Korean/English
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 Large Korean/English
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8019
- Wer: 198.2263
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 773
- training_steps: 7728
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5546 | 1.0 | 773 | 0.5308 | 240.1463 |
| 0.3284 | 2.0 | 1546 | 0.5160 | 133.6395 |
| 0.176 | 3.0 | 2319 | 0.5582 | 264.5033 |
| 0.0977 | 4.0 | 3092 | 0.6110 | 155.6417 |
| 0.065 | 5.0 | 3865 | 0.6577 | 194.4118 |
| 0.0298 | 6.0 | 4638 | 0.7021 | 235.0691 |
| 0.0109 | 7.0 | 5411 | 0.7408 | 158.8282 |
| 0.0069 | 8.0 | 6184 | 0.7550 | 201.9574 |
| 0.0057 | 9.0 | 6957 | 0.8019 | 198.2263 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.17.0
- Tokenizers 0.15.2
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