Myodel

--- library_name: transformers tags: - generated_from_trainer metrics: - bleu model-index: - name: myodel results: [] --- # myodel This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.3333 - Bleu: 0.4497 - Gen Len: 18.3556 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 23 | 3.5473 | 0.128 | 19.9667 | | No log | 2.0 | 46 | 3.4701 | 0.2473 | 18.95 | | No log | 3.0 | 69 | 3.4291 | 0.2522 | 19.6611 | | No log | 4.0 | 92 | 3.4070 | 0.1359 | 19.6611 | | No log | 5.0 | 115 | 3.3855 | 0.334 | 19.4889 | | No log | 6.0 | 138 | 3.3705 | 0.2762 | 19.2722 | | No log | 7.0 | 161 | 3.3573 | 0.3152 | 19.0944 | | No log | 8.0 | 184 | 3.3508 | 0.1745 | 19.4778 | | No log | 9.0 | 207 | 3.3471 | 0.3251 | 19.4944 | | No log | 10.0 | 230 | 3.3392 | 0.4026 | 19.35 | | No log | 11.0 | 253 | 3.3377 | 0.4314 | 18.8444 | | No log | 12.0 | 276 | 3.3360 | 0.4322 | 18.9333 | | No log | 13.0 | 299 | 3.3344 | 0.4387 | 18.8333 | | No log | 14.0 | 322 | 3.3329 | 0.4653 | 18.6778 | | No log | 15.0 | 345 | 3.3333 | 0.4497 | 18.3556 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.11.0+cu128 - Datasets 3.6.0 - Tokenizers 0.22.2