metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fl_asr_speech_recognition
results: []
fl_asr_speech_recognition
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2947
- Wer: 0.1449
- Cer: 0.0451
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: 0.0001
- train_batch_size: 4
- 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: 500
- num_epochs: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.625 | 12.6582 | 1000 | 0.4832 | 0.5625 | 0.1090 |
| 0.3037 | 25.3165 | 2000 | 0.3879 | 0.3665 | 0.0686 |
| 0.2127 | 37.9747 | 3000 | 0.4096 | 0.2926 | 0.0617 |
| 0.1767 | 50.6329 | 4000 | 0.3967 | 0.25 | 0.0552 |
| 0.1238 | 63.2911 | 5000 | 0.3024 | 0.2273 | 0.0529 |
| 0.0868 | 75.9494 | 6000 | 0.3768 | 0.2330 | 0.0487 |
| 0.0823 | 88.6076 | 7000 | 0.2742 | 0.2244 | 0.0420 |
| 0.0696 | 101.2658 | 8000 | 0.2792 | 0.2074 | 0.0383 |
| 0.0496 | 113.9241 | 9000 | 0.3362 | 0.1591 | 0.0359 |
| 0.0413 | 126.5823 | 10000 | 0.3061 | 0.1562 | 0.0400 |
| 0.0286 | 139.2405 | 11000 | 0.3264 | 0.1591 | 0.0406 |
| 0.0294 | 151.8987 | 12000 | 0.3046 | 0.1648 | 0.0424 |
| 0.0183 | 164.5570 | 13000 | 0.3083 | 0.1506 | 0.0400 |
| 0.0159 | 177.2152 | 14000 | 0.2947 | 0.1449 | 0.0451 |
| 0.009 | 189.8734 | 15000 | 0.3198 | 0.1477 | 0.0411 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1