|
--- |
|
language: |
|
- ko |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- Drunk/aihub_sample |
|
model-index: |
|
- name: tuning_test_whisper |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i) |
|
# tuning_test_whisper |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the aihub_sample dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2301 |
|
- Cer: 18.4549 |
|
|
|
## 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: 500 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.0001 | 500.0 | 1000 | 1.0798 | 18.0258 | |
|
| 0.0001 | 1000.0 | 2000 | 1.1747 | 18.4549 | |
|
| 0.0 | 1500.0 | 3000 | 1.2109 | 18.4549 | |
|
| 0.0 | 2000.0 | 4000 | 1.2301 | 18.4549 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.0.dev0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
