metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Model_G_S_P_Wav2Vec2
results: []
Model_G_S_P_Wav2Vec2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5098
- Wer: 0.5366
- Cer: 0.2277
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.0449 | 3.49 | 400 | 1.7576 | 0.6270 | 0.2607 |
| 0.484 | 6.99 | 800 | 1.8072 | 0.6043 | 0.2536 |
| 0.3335 | 10.48 | 1200 | 2.0222 | 0.5892 | 0.2500 |
| 0.2559 | 13.97 | 1600 | 2.4174 | 0.5719 | 0.2448 |
| 0.1999 | 17.47 | 2000 | 2.2888 | 0.5566 | 0.2376 |
| 0.1546 | 20.96 | 2400 | 2.5271 | 0.5753 | 0.2400 |
| 0.1225 | 24.45 | 2800 | 2.4489 | 0.5427 | 0.2327 |
| 0.0983 | 27.95 | 3200 | 2.5098 | 0.5366 | 0.2277 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3