metadata
library_name: transformers
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_adult_baseline
model-index:
- name: whisper-small-Yfreq_speed_pause
results: []
whisper-small-Yfreq_speed_pause
This model is a fine-tuned version of openai/whisper-small on the aihub old10 adult pause changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.2246
- Cer: 6.2148
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2448 | 0.1289 | 100 | 0.2733 | 6.9725 |
| 0.1281 | 0.2579 | 200 | 0.2482 | 6.4262 |
| 0.1473 | 0.3868 | 300 | 0.2484 | 6.4556 |
| 0.1054 | 0.5158 | 400 | 0.2457 | 6.5085 |
| 0.1008 | 0.6447 | 500 | 0.2432 | 6.4673 |
| 0.0853 | 0.7737 | 600 | 0.2349 | 6.3381 |
| 0.0854 | 0.9026 | 700 | 0.2332 | 6.2911 |
| 0.0347 | 1.0316 | 800 | 0.2321 | 6.3264 |
| 0.0306 | 1.1605 | 900 | 0.2289 | 6.6553 |
| 0.0258 | 1.2895 | 1000 | 0.2303 | 6.1443 |
| 0.0285 | 1.4184 | 1100 | 0.2277 | 6.2735 |
| 0.0334 | 1.5474 | 1200 | 0.2261 | 5.7625 |
| 0.0283 | 1.6763 | 1300 | 0.2261 | 5.8329 |
| 0.0322 | 1.8053 | 1400 | 0.2265 | 7.0078 |
| 0.0341 | 1.9342 | 1500 | 0.2246 | 6.2148 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1