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cv_bn_bestModel_1
This model is a fine-tuned version of Sameen53/facebook_large_CV_bn3 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.1780
- Wer: 0.2315
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-06
- 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: 200
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1588 | 1.3 | 1500 | 0.2097 | 0.2315 |
| 0.2126 | 2.6 | 3000 | 0.1941 | 0.2310 |
| 0.2242 | 3.9 | 4500 | 0.1834 | 0.2307 |
| 0.2303 | 5.2 | 6000 | 0.1780 | 0.2315 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
