scream_non_large_1e06_verbosity6
This model is a fine-tuned version of NbAiLab/scream_non_large_1e06_beams5_constantlr_long on the NbAiLab/NCC_speech_all_v5 dataset. It achieves the following results on the evaluation set:
- step: 24999
- eval_loss: 1.2068
- train_loss: 0.1588
- eval_wer: 10.8404
- eval_cer: 5.9410
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-06
- lr_scheduler_type: linear
- per_device_train_batch_size: 5
- total_train_batch_size_per_node: 20
- total_train_batch_size: 160
- total_optimization_steps: 25,000
- starting_optimization_step: None
- finishing_optimization_step: 25,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 4,000,000
- steps_per_epoch: 3948
- num_beams: 5
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|---|---|---|---|---|
| 0 | 1.1990 | 0.1742 | 10.4750 | 5.6387 |
| 2500 | 1.2217 | 0.1679 | 10.5359 | 5.7294 |
| 5000 | 1.2039 | 0.1717 | 10.5968 | 5.7949 |
| 7500 | 1.2121 | 0.1653 | 10.6577 | 5.8050 |
| 10000 | 1.2018 | 0.1494 | 10.6577 | 5.8453 |
| 12500 | 1.2066 | 0.1707 | 10.3228 | 5.7496 |
| 15000 | 1.2399 | 0.1671 | 10.8100 | 5.8201 |
| 17500 | 1.2301 | 0.1737 | 10.9013 | 5.9209 |
| 20000 | 1.2481 | 0.1520 | 11.1145 | 6.0015 |
| 22500 | 1.2333 | 0.1635 | 11.1754 | 6.1577 |
| 24999 | 1.2068 | 0.1588 | 10.8404 | 5.9410 |
Framework versions
- Transformers 4.28.1
- Datasets 2.11.0
- Tokenizers 0.13.3
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