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---
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 |