|
--- |
|
language: |
|
- hi |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
model-index: |
|
- name: Whisper Small ko-Ynormal - syp1229 |
|
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 Small ko-Ynormal - syp1229 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub Y dialogue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3226 |
|
- Cer: 7.2687 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 50 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.1988 | 0.3 | 100 | 0.3257 | 8.7640 | |
|
| 0.1965 | 0.59 | 200 | 0.3302 | 8.6157 | |
|
| 0.1374 | 0.89 | 300 | 0.3257 | 9.6481 | |
|
| 0.0528 | 1.18 | 400 | 0.3255 | 8.6097 | |
|
| 0.0515 | 1.48 | 500 | 0.3126 | 8.0104 | |
|
| 0.0461 | 1.78 | 600 | 0.3063 | 7.9096 | |
|
| 0.0204 | 2.07 | 700 | 0.3209 | 7.8206 | |
|
| 0.0174 | 2.37 | 800 | 0.3216 | 7.6070 | |
|
| 0.0225 | 2.66 | 900 | 0.3095 | 7.4586 | |
|
| 0.0204 | 2.96 | 1000 | 0.3186 | 8.0342 | |
|
| 0.0048 | 3.25 | 1100 | 0.3188 | 7.6485 | |
|
| 0.0062 | 3.55 | 1200 | 0.3149 | 7.4586 | |
|
| 0.0044 | 3.85 | 1300 | 0.3156 | 7.4527 | |
|
| 0.0076 | 4.14 | 1400 | 0.3182 | 7.1975 | |
|
| 0.004 | 4.44 | 1500 | 0.3211 | 7.1738 | |
|
| 0.0027 | 4.73 | 1600 | 0.3226 | 7.2687 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
