| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: wev2vec-reg-ben | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # wev2vec-reg-ben | |
| This model is a fine-tuned version of [Sameen53/cv_bn_bestModel_1](https://huggingface.co/Sameen53/cv_bn_bestModel_1) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2706 | |
| - Wer: 0.3 | |
| ## 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-07 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 64 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:---:| | |
| | 0.4297 | 3.12 | 50 | 0.2821 | 0.3 | | |
| | 0.4125 | 6.25 | 100 | 0.2706 | 0.3 | | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.11.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |