| --- |
| library_name: peft |
| license: mit |
| base_model: gpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Se124M10KInfKeyValue |
| 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. --> |
|
|
| # Se124M10KInfKeyValue |
|
|
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5416 |
|
|
| ## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 50 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.3613 | 1.0 | 225 | 0.9669 | |
| | 0.2223 | 2.0 | 450 | 0.7171 | |
| | 0.1879 | 3.0 | 675 | 0.6545 | |
| | 0.1715 | 4.0 | 900 | 0.6227 | |
| | 0.1658 | 5.0 | 1125 | 0.6118 | |
| | 0.1606 | 6.0 | 1350 | 0.6041 | |
| | 0.1571 | 7.0 | 1575 | 0.5922 | |
| | 0.1547 | 8.0 | 1800 | 0.5869 | |
| | 0.1541 | 9.0 | 2025 | 0.5817 | |
| | 0.1499 | 10.0 | 2250 | 0.5814 | |
| | 0.1511 | 11.0 | 2475 | 0.5738 | |
| | 0.1479 | 12.0 | 2700 | 0.5730 | |
| | 0.1487 | 13.0 | 2925 | 0.5697 | |
| | 0.1449 | 14.0 | 3150 | 0.5665 | |
| | 0.1448 | 15.0 | 3375 | 0.5653 | |
| | 0.1435 | 16.0 | 3600 | 0.5645 | |
| | 0.1455 | 17.0 | 3825 | 0.5612 | |
| | 0.1437 | 18.0 | 4050 | 0.5586 | |
| | 0.1417 | 19.0 | 4275 | 0.5565 | |
| | 0.1434 | 20.0 | 4500 | 0.5580 | |
| | 0.1439 | 21.0 | 4725 | 0.5561 | |
| | 0.1421 | 22.0 | 4950 | 0.5552 | |
| | 0.1414 | 23.0 | 5175 | 0.5532 | |
| | 0.1396 | 24.0 | 5400 | 0.5505 | |
| | 0.1392 | 25.0 | 5625 | 0.5521 | |
| | 0.1413 | 26.0 | 5850 | 0.5517 | |
| | 0.1385 | 27.0 | 6075 | 0.5478 | |
| | 0.1413 | 28.0 | 6300 | 0.5485 | |
| | 0.1411 | 29.0 | 6525 | 0.5500 | |
| | 0.139 | 30.0 | 6750 | 0.5482 | |
| | 0.1402 | 31.0 | 6975 | 0.5480 | |
| | 0.1397 | 32.0 | 7200 | 0.5462 | |
| | 0.1402 | 33.0 | 7425 | 0.5448 | |
| | 0.1405 | 34.0 | 7650 | 0.5472 | |
| | 0.1374 | 35.0 | 7875 | 0.5437 | |
| | 0.1373 | 36.0 | 8100 | 0.5446 | |
| | 0.1386 | 37.0 | 8325 | 0.5439 | |
| | 0.1372 | 38.0 | 8550 | 0.5438 | |
| | 0.1383 | 39.0 | 8775 | 0.5431 | |
| | 0.1375 | 40.0 | 9000 | 0.5428 | |
| | 0.1398 | 41.0 | 9225 | 0.5431 | |
| | 0.1394 | 42.0 | 9450 | 0.5418 | |
| | 0.1395 | 43.0 | 9675 | 0.5423 | |
| | 0.1377 | 44.0 | 9900 | 0.5423 | |
| | 0.1366 | 45.0 | 10125 | 0.5422 | |
| | 0.138 | 46.0 | 10350 | 0.5419 | |
| | 0.136 | 47.0 | 10575 | 0.5416 | |
| | 0.138 | 48.0 | 10800 | 0.5418 | |
| | 0.1373 | 49.0 | 11025 | 0.5417 | |
| | 0.1365 | 50.0 | 11250 | 0.5416 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.15.1 |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu118 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
