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nick_asr_LID
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
- Cer: 1.0
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 50.7955 | 1.0 | 458 | 54.9678 | 1.0 | 1.0 |
| 29.3958 | 2.0 | 916 | 37.1618 | 0.9928 | 0.9887 |
| 27.1413 | 3.0 | 1374 | 32.5933 | 0.9856 | 0.9854 |
| 24.0847 | 4.0 | 1832 | 34.2804 | 0.9784 | 0.9447 |
| 492.7757 | 5.0 | 2290 | nan | 0.9736 | 0.9428 |
| 0.0 | 6.0 | 2748 | nan | 1.0 | 1.0 |
| 0.0 | 7.0 | 3206 | nan | 1.0 | 1.0 |
| 0.0 | 8.0 | 3664 | nan | 1.0 | 1.0 |
| 0.0 | 9.0 | 4122 | nan | 1.0 | 1.0 |
| 0.0 | 10.0 | 4580 | nan | 1.0 | 1.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
