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-Ypause_speed
results: []
whisper-small-Ypause_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: 0.3047
- Cer: 7.9828
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 |
|---|---|---|---|---|
| 0.2579 | 0.1290 | 100 | 0.2921 | 8.2472 |
| 0.146 | 0.2581 | 200 | 0.2830 | 7.6833 |
| 0.1177 | 0.3871 | 300 | 0.2817 | 7.6245 |
| 0.1107 | 0.5161 | 400 | 0.2889 | 8.1708 |
| 0.082 | 0.6452 | 500 | 0.2890 | 7.9359 |
| 0.0908 | 0.7742 | 600 | 0.2859 | 7.6833 |
| 0.0866 | 0.9032 | 700 | 0.2916 | 7.8889 |
| 0.0331 | 1.0323 | 800 | 0.3022 | 8.0768 |
| 0.0275 | 1.1613 | 900 | 0.2975 | 7.8184 |
| 0.0297 | 1.2903 | 1000 | 0.2896 | 7.5129 |
| 0.0311 | 1.4194 | 1100 | 0.3048 | 8.0063 |
| 0.0221 | 1.5484 | 1200 | 0.3129 | 8.1238 |
| 0.0243 | 1.6774 | 1300 | 0.3015 | 7.8419 |
| 0.025 | 1.8065 | 1400 | 0.3026 | 7.9006 |
| 0.0239 | 1.9355 | 1500 | 0.3047 | 7.9828 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3