metadata
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_elder
model-index:
- name: whisper-small-ko-EYfreq_speed
results: []
whisper-small-ko-EYfreq_speed
This model is a fine-tuned version of openai/whisper-small on the aihub Y dialogue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2194
- Cer: 5.0258
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.3544 | 0.3 | 100 | 0.2530 | 6.6160 |
| 0.31 | 0.59 | 200 | 0.2367 | 6.4024 |
| 0.2798 | 0.89 | 300 | 0.2177 | 5.8862 |
| 0.1122 | 1.19 | 400 | 0.2188 | 7.2153 |
| 0.1128 | 1.48 | 500 | 0.2272 | 5.9396 |
| 0.0975 | 1.78 | 600 | 0.2157 | 5.6963 |
| 0.0326 | 2.07 | 700 | 0.2100 | 5.3166 |
| 0.0355 | 2.37 | 800 | 0.2149 | 5.1326 |
| 0.0401 | 2.67 | 900 | 0.2180 | 5.9752 |
| 0.0352 | 2.96 | 1000 | 0.2083 | 5.0614 |
| 0.0147 | 3.26 | 1100 | 0.2134 | 5.1386 |
| 0.0126 | 3.56 | 1200 | 0.2141 | 5.0377 |
| 0.0119 | 3.85 | 1300 | 0.2213 | 4.9783 |
| 0.005 | 4.15 | 1400 | 0.2164 | 4.9071 |
| 0.0043 | 4.44 | 1500 | 0.2155 | 4.9309 |
| 0.0042 | 4.74 | 1600 | 0.2194 | 5.0258 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3