metadata
tags:
- generated_from_trainer
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: 1.5575
- Wer: 0.6673
- Cer: 0.2687
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.0117 | 8.51 | 400 | 1.4415 | 0.6958 | 0.2701 |
| 0.456 | 17.02 | 800 | 1.5152 | 0.6816 | 0.2833 |
| 0.2385 | 25.53 | 1200 | 1.5575 | 0.6673 | 0.2687 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3