CV_bn_trained_on_Validation
This model is a fine-tuned version of ./content/CV_bn_trained_on_Validation/checkpoint-6000 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2181
- Wer: 0.3385
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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1104 | 1.25 | 2000 | 0.2535 | 0.3705 |
| 1.1069 | 2.49 | 4000 | 0.2369 | 0.3545 |
| 1.0344 | 3.74 | 6000 | 0.2181 | 0.3385 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1