| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: myodel |
| 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. --> |
|
|
| # 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 |
| |
