metadata
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/chungnam_firestation
model-index:
- name: chungnam_firestation_small_model
results: []
chungnam_firestation_small_model
This model is a fine-tuned version of openai/whisper-small on the Marcusxx/chungnam_firestation dataset. It achieves the following results on the evaluation set:
- Loss: 0.0569
- Cer: 204.7194
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: 5e-06
- 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: 250
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.9925 | 1.3245 | 200 | 0.9694 | 214.5036 |
| 0.1173 | 2.6490 | 400 | 0.2153 | 108.6043 |
| 0.0366 | 3.9735 | 600 | 0.0958 | 225.2086 |
| 0.0056 | 5.2980 | 800 | 0.0643 | 224.0576 |
| 0.0028 | 6.6225 | 1000 | 0.0559 | 180.8058 |
| 0.0011 | 7.9470 | 1200 | 0.0553 | 196.0288 |
| 0.0008 | 9.2715 | 1400 | 0.0560 | 228.6906 |
| 0.0007 | 10.5960 | 1600 | 0.0566 | 212.2878 |
| 0.0007 | 11.9205 | 1800 | 0.0569 | 211.7986 |
| 0.0006 | 13.2450 | 2000 | 0.0569 | 204.7194 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1