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--- |
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library_name: peft |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Se124M10KInfDelimiter |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Se124M10KInfDelimiter |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5435 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3814 | 1.0 | 225 | 0.9747 | |
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| 0.2215 | 2.0 | 450 | 0.7053 | |
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| 0.1876 | 3.0 | 675 | 0.6494 | |
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| 0.1711 | 4.0 | 900 | 0.6211 | |
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| 0.1655 | 5.0 | 1125 | 0.6091 | |
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| 0.1611 | 6.0 | 1350 | 0.6025 | |
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| 0.1577 | 7.0 | 1575 | 0.5935 | |
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| 0.1553 | 8.0 | 1800 | 0.5883 | |
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| 0.154 | 9.0 | 2025 | 0.5816 | |
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| 0.1507 | 10.0 | 2250 | 0.5820 | |
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| 0.152 | 11.0 | 2475 | 0.5749 | |
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| 0.1487 | 12.0 | 2700 | 0.5773 | |
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| 0.1493 | 13.0 | 2925 | 0.5708 | |
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| 0.1457 | 14.0 | 3150 | 0.5685 | |
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| 0.1459 | 15.0 | 3375 | 0.5670 | |
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| 0.1442 | 16.0 | 3600 | 0.5670 | |
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| 0.1468 | 17.0 | 3825 | 0.5643 | |
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| 0.1444 | 18.0 | 4050 | 0.5608 | |
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| 0.1424 | 19.0 | 4275 | 0.5586 | |
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| 0.1439 | 20.0 | 4500 | 0.5606 | |
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| 0.1446 | 21.0 | 4725 | 0.5572 | |
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| 0.1428 | 22.0 | 4950 | 0.5575 | |
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| 0.1422 | 23.0 | 5175 | 0.5554 | |
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| 0.14 | 24.0 | 5400 | 0.5542 | |
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| 0.1395 | 25.0 | 5625 | 0.5545 | |
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| 0.1418 | 26.0 | 5850 | 0.5535 | |
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| 0.1393 | 27.0 | 6075 | 0.5504 | |
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| 0.1417 | 28.0 | 6300 | 0.5514 | |
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| 0.1419 | 29.0 | 6525 | 0.5516 | |
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| 0.1392 | 30.0 | 6750 | 0.5501 | |
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| 0.1403 | 31.0 | 6975 | 0.5492 | |
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| 0.1403 | 32.0 | 7200 | 0.5484 | |
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| 0.1414 | 33.0 | 7425 | 0.5476 | |
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| 0.1411 | 34.0 | 7650 | 0.5491 | |
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| 0.1379 | 35.0 | 7875 | 0.5467 | |
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| 0.1376 | 36.0 | 8100 | 0.5468 | |
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| 0.1393 | 37.0 | 8325 | 0.5454 | |
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| 0.1376 | 38.0 | 8550 | 0.5454 | |
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| 0.1388 | 39.0 | 8775 | 0.5459 | |
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| 0.1377 | 40.0 | 9000 | 0.5452 | |
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| 0.1409 | 41.0 | 9225 | 0.5447 | |
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| 0.1402 | 42.0 | 9450 | 0.5442 | |
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| 0.1401 | 43.0 | 9675 | 0.5445 | |
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| 0.1381 | 44.0 | 9900 | 0.5441 | |
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| 0.1371 | 45.0 | 10125 | 0.5444 | |
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| 0.1379 | 46.0 | 10350 | 0.5440 | |
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| 0.1369 | 47.0 | 10575 | 0.5437 | |
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| 0.1387 | 48.0 | 10800 | 0.5437 | |
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| 0.1379 | 49.0 | 11025 | 0.5438 | |
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| 0.1364 | 50.0 | 11250 | 0.5435 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
