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-E30_Yfreq_speed
results: []
whisper-small-E30_Yfreq_speed
This model is a fine-tuned version of openai/whisper-small on the aihub old adult freq speed pause changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1845
- Cer: 4.7991
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 |
|---|---|---|---|---|
| 0.2854 | 0.1289 | 100 | 0.2571 | 6.5848 |
| 0.1641 | 0.2579 | 200 | 0.2280 | 6.2324 |
| 0.16 | 0.3868 | 300 | 0.2277 | 6.3910 |
| 0.1446 | 0.5158 | 400 | 0.2168 | 6.0092 |
| 0.1147 | 0.6447 | 500 | 0.2077 | 5.9034 |
| 0.1142 | 0.7737 | 600 | 0.2032 | 5.6567 |
| 0.1152 | 0.9026 | 700 | 0.1991 | 5.6332 |
| 0.0555 | 1.0309 | 800 | 0.1891 | 5.1574 |
| 0.0484 | 1.1599 | 900 | 0.1929 | 5.0164 |
| 0.0473 | 1.2888 | 1000 | 0.1924 | 4.9871 |
| 0.0418 | 1.4178 | 1100 | 0.1909 | 4.8872 |
| 0.041 | 1.5467 | 1200 | 0.1869 | 4.8813 |
| 0.0422 | 1.6757 | 1300 | 0.1863 | 4.9988 |
| 0.0387 | 1.8046 | 1400 | 0.1847 | 4.8285 |
| 0.0423 | 1.9336 | 1500 | 0.1845 | 4.7991 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3