--- library_name: transformers tags: - generated_from_trainer metrics: - wer model-index: - name: base_sami_22k_cont_pt_ftpseudo_shuff142wr20esp5 results: [] --- # base_sami_22k_cont_pt_ftpseudo_shuff142wr20esp5 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1150.0363 - Wer: 1.0 - Cer: 1.0 ## 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: 0.0005 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.2 - num_epochs: 20.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |:-------------:|:-----:|:----:|:---------------:|:---:|:---:| | 4511.6611 | 1.0 | 1080 | 1149.9353 | 1.0 | 1.0 | | 3591.4514 | 2.0 | 2160 | 1155.4658 | 1.0 | 1.0 | | 3649.9262 | 3.0 | 3240 | 1155.6082 | 1.0 | 1.0 | | 3789.6616 | 4.0 | 4320 | 1146.7284 | 1.0 | 1.0 | | 3752.8502 | 5.0 | 5400 | 1158.9340 | 1.0 | 1.0 | | 3673.8093 | 6.0 | 6480 | 1151.3530 | 1.0 | 1.0 | ### Framework versions - Transformers 4.48.3 - Pytorch 2.5.1 - Datasets 3.2.0 - Tokenizers 0.21.0