Model save
Browse files- README.md +53 -53
- all_results.json +5 -5
- train_results.json +5 -5
README.md
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@@ -5,18 +5,18 @@ 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:
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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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#
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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.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: Se124M10KInfKeyValue
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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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# Se124M10KInfKeyValue
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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: 0.5416
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.3613 | 1.0 | 225 | 0.9669 |
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| 0.2223 | 2.0 | 450 | 0.7171 |
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| 0.1879 | 3.0 | 675 | 0.6545 |
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| 0.1715 | 4.0 | 900 | 0.6227 |
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| 0.1658 | 5.0 | 1125 | 0.6118 |
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| 0.1606 | 6.0 | 1350 | 0.6041 |
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| 0.1571 | 7.0 | 1575 | 0.5922 |
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| 0.1547 | 8.0 | 1800 | 0.5869 |
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| 0.1541 | 9.0 | 2025 | 0.5817 |
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| 0.1499 | 10.0 | 2250 | 0.5814 |
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| 0.1511 | 11.0 | 2475 | 0.5738 |
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| 0.1479 | 12.0 | 2700 | 0.5730 |
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| 0.1487 | 13.0 | 2925 | 0.5697 |
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| 0.1449 | 14.0 | 3150 | 0.5665 |
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| 0.1448 | 15.0 | 3375 | 0.5653 |
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| 0.1435 | 16.0 | 3600 | 0.5645 |
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| 0.1455 | 17.0 | 3825 | 0.5612 |
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| 0.1437 | 18.0 | 4050 | 0.5586 |
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| 0.1417 | 19.0 | 4275 | 0.5565 |
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| 0.1434 | 20.0 | 4500 | 0.5580 |
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| 0.1439 | 21.0 | 4725 | 0.5561 |
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| 0.1421 | 22.0 | 4950 | 0.5552 |
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| 0.1414 | 23.0 | 5175 | 0.5532 |
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| 0.1396 | 24.0 | 5400 | 0.5505 |
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| 0.1392 | 25.0 | 5625 | 0.5521 |
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| 0.1413 | 26.0 | 5850 | 0.5517 |
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| 0.1385 | 27.0 | 6075 | 0.5478 |
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| 0.1413 | 28.0 | 6300 | 0.5485 |
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| 0.1411 | 29.0 | 6525 | 0.5500 |
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| 0.139 | 30.0 | 6750 | 0.5482 |
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| 0.1402 | 31.0 | 6975 | 0.5480 |
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| 0.1397 | 32.0 | 7200 | 0.5462 |
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| 0.1402 | 33.0 | 7425 | 0.5448 |
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| 0.1405 | 34.0 | 7650 | 0.5472 |
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| 0.1374 | 35.0 | 7875 | 0.5437 |
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| 0.1373 | 36.0 | 8100 | 0.5446 |
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| 0.1386 | 37.0 | 8325 | 0.5439 |
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| 0.1372 | 38.0 | 8550 | 0.5438 |
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| 0.1383 | 39.0 | 8775 | 0.5431 |
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| 0.1375 | 40.0 | 9000 | 0.5428 |
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| 0.1398 | 41.0 | 9225 | 0.5431 |
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| 0.1394 | 42.0 | 9450 | 0.5418 |
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| 0.1395 | 43.0 | 9675 | 0.5423 |
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| 0.1377 | 44.0 | 9900 | 0.5423 |
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| 0.1366 | 45.0 | 10125 | 0.5422 |
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| 0.138 | 46.0 | 10350 | 0.5419 |
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| 0.136 | 47.0 | 10575 | 0.5416 |
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| 0.138 | 48.0 | 10800 | 0.5418 |
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| 0.1373 | 49.0 | 11025 | 0.5417 |
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| 0.1365 | 50.0 | 11250 | 0.5416 |
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### Framework versions
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all_results.json
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"eval_samples_per_second": 158.647,
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"eval_steps_per_second": 4.998,
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"perplexity": 1.678217974585131,
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"total_flos": 2.
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"train_loss": 0.
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"train_runtime":
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"train_steps_per_second": 9.
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}
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"eval_samples_per_second": 158.647,
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"eval_steps_per_second": 4.998,
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"perplexity": 1.678217974585131,
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"total_flos": 2.35191607492608e+16,
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"train_loss": 0.15202610808478462,
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"train_runtime": 1233.6469,
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"train_samples_per_second": 290.845,
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"train_steps_per_second": 9.119
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}
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train_results.json
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{
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"epoch": 50.0,
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"total_flos": 2.
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"train_loss": 0.
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}
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{
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"epoch": 50.0,
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"total_flos": 2.35191607492608e+16,
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"train_loss": 0.15202610808478462,
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"train_runtime": 1233.6469,
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"train_samples_per_second": 290.845,
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"train_steps_per_second": 9.119
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}
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