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training_45k_V2
This model is a fine-tuned version of Sameen53/training_45k on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.1673
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: 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2583 | 1.26 | 1500 | inf | 0.1660 |
| 0.2522 | 2.51 | 3000 | inf | 0.1625 |
| 0.2427 | 3.77 | 4500 | inf | 0.1665 |
| 0.2333 | 5.02 | 6000 | inf | 0.1629 |
| 0.2692 | 6.28 | 7500 | inf | 0.1673 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
