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mrshlltaylor
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k3-Entity-Relationship-GPT2

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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End of training

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  1. README.md +7 -508
  2. model.safetensors +1 -1
  3. runs/Jun21_00-01-00_dca405841a1d/events.out.tfevents.1718929298.dca405841a1d.130.11 +3 -0
  4. runs/Jun21_00-22-41_dca405841a1d/events.out.tfevents.1718929365.dca405841a1d.130.12 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0007
 
 
 
 
 
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  ## Model description
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@@ -34,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -45,512 +50,6 @@ The following hyperparameters were used during training:
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  - num_epochs: 500
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 0.0011 |
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- | No log | 2.0 | 2 | 0.0011 |
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- | No log | 3.0 | 3 | 0.0011 |
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- | No log | 4.0 | 4 | 0.0011 |
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- | No log | 5.0 | 5 | 0.0011 |
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- | No log | 6.0 | 6 | 0.0011 |
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- | No log | 7.0 | 7 | 0.0011 |
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- | No log | 8.0 | 8 | 0.0011 |
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- | No log | 9.0 | 9 | 0.0011 |
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- | 0.0001 | 10.0 | 10 | 0.0011 |
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- | 0.0001 | 11.0 | 11 | 0.0011 |
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- | 0.0001 | 12.0 | 12 | 0.0011 |
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- | 0.0001 | 13.0 | 13 | 0.0011 |
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- | 0.0001 | 14.0 | 14 | 0.0011 |
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- | 0.0001 | 15.0 | 15 | 0.0011 |
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- | 0.0001 | 16.0 | 16 | 0.0010 |
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- | 0.0001 | 17.0 | 17 | 0.0010 |
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- | 0.0001 | 18.0 | 18 | 0.0010 |
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- | 0.0001 | 19.0 | 19 | 0.0010 |
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- | 0.0001 | 20.0 | 20 | 0.0010 |
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- | 0.0001 | 21.0 | 21 | 0.0010 |
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- | 0.0001 | 22.0 | 22 | 0.0010 |
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- | 0.0001 | 23.0 | 23 | 0.0010 |
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- | 0.0001 | 24.0 | 24 | 0.0010 |
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- | 0.0001 | 25.0 | 25 | 0.0010 |
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- | 0.0001 | 26.0 | 26 | 0.0010 |
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- | 0.0001 | 27.0 | 27 | 0.0010 |
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- | 0.0001 | 28.0 | 28 | 0.0010 |
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- | 0.0001 | 29.0 | 29 | 0.0010 |
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- | 0.0001 | 30.0 | 30 | 0.0010 |
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- | 0.0001 | 31.0 | 31 | 0.0010 |
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- | 0.0001 | 32.0 | 32 | 0.0010 |
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- | 0.0001 | 33.0 | 33 | 0.0010 |
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- | 0.0001 | 34.0 | 34 | 0.0010 |
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- | 0.0001 | 35.0 | 35 | 0.0010 |
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- | 0.0001 | 36.0 | 36 | 0.0010 |
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- | 0.0001 | 37.0 | 37 | 0.0010 |
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- | 0.0001 | 38.0 | 38 | 0.0010 |
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- | 0.0001 | 39.0 | 39 | 0.0010 |
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- | 0.0001 | 40.0 | 40 | 0.0010 |
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- | 0.0001 | 41.0 | 41 | 0.0010 |
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- | 0.0001 | 42.0 | 42 | 0.0010 |
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- | 0.0001 | 43.0 | 43 | 0.0010 |
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- | 0.0001 | 44.0 | 44 | 0.0010 |
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- | 0.0001 | 45.0 | 45 | 0.0010 |
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- | 0.0001 | 46.0 | 46 | 0.0010 |
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- | 0.0001 | 47.0 | 47 | 0.0010 |
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- | 0.0001 | 48.0 | 48 | 0.0010 |
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- | 0.0001 | 49.0 | 49 | 0.0010 |
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- | 0.0001 | 50.0 | 50 | 0.0010 |
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- | 0.0001 | 51.0 | 51 | 0.0010 |
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- | 0.0001 | 52.0 | 52 | 0.0010 |
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- | 0.0001 | 53.0 | 53 | 0.0010 |
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- | 0.0001 | 54.0 | 54 | 0.0010 |
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- | 0.0001 | 55.0 | 55 | 0.0010 |
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- | 0.0001 | 56.0 | 56 | 0.0010 |
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- | 0.0001 | 57.0 | 57 | 0.0010 |
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- | 0.0001 | 58.0 | 58 | 0.0010 |
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- | 0.0001 | 59.0 | 59 | 0.0010 |
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- | 0.0001 | 60.0 | 60 | 0.0010 |
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- | 0.0001 | 61.0 | 61 | 0.0010 |
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- | 0.0001 | 62.0 | 62 | 0.0010 |
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- | 0.0001 | 63.0 | 63 | 0.0010 |
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- | 0.0001 | 64.0 | 64 | 0.0010 |
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- | 0.0001 | 67.0 | 67 | 0.0010 |
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- | 0.0001 | 68.0 | 68 | 0.0010 |
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- | 0.0001 | 69.0 | 69 | 0.0010 |
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- | 0.0001 | 70.0 | 70 | 0.0009 |
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- | 0.0001 | 72.0 | 72 | 0.0009 |
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412
- | 0.0001 | 361.0 | 361 | 0.0007 |
413
- | 0.0001 | 362.0 | 362 | 0.0007 |
414
- | 0.0001 | 363.0 | 363 | 0.0007 |
415
- | 0.0001 | 364.0 | 364 | 0.0007 |
416
- | 0.0001 | 365.0 | 365 | 0.0007 |
417
- | 0.0001 | 366.0 | 366 | 0.0007 |
418
- | 0.0001 | 367.0 | 367 | 0.0007 |
419
- | 0.0001 | 368.0 | 368 | 0.0007 |
420
- | 0.0001 | 369.0 | 369 | 0.0007 |
421
- | 0.0001 | 370.0 | 370 | 0.0007 |
422
- | 0.0001 | 371.0 | 371 | 0.0007 |
423
- | 0.0001 | 372.0 | 372 | 0.0007 |
424
- | 0.0001 | 373.0 | 373 | 0.0007 |
425
- | 0.0001 | 374.0 | 374 | 0.0007 |
426
- | 0.0001 | 375.0 | 375 | 0.0007 |
427
- | 0.0001 | 376.0 | 376 | 0.0007 |
428
- | 0.0001 | 377.0 | 377 | 0.0007 |
429
- | 0.0001 | 378.0 | 378 | 0.0007 |
430
- | 0.0001 | 379.0 | 379 | 0.0007 |
431
- | 0.0001 | 380.0 | 380 | 0.0007 |
432
- | 0.0001 | 381.0 | 381 | 0.0007 |
433
- | 0.0001 | 382.0 | 382 | 0.0007 |
434
- | 0.0001 | 383.0 | 383 | 0.0007 |
435
- | 0.0001 | 384.0 | 384 | 0.0007 |
436
- | 0.0001 | 385.0 | 385 | 0.0007 |
437
- | 0.0001 | 386.0 | 386 | 0.0007 |
438
- | 0.0001 | 387.0 | 387 | 0.0007 |
439
- | 0.0001 | 388.0 | 388 | 0.0007 |
440
- | 0.0001 | 389.0 | 389 | 0.0007 |
441
- | 0.0001 | 390.0 | 390 | 0.0007 |
442
- | 0.0001 | 391.0 | 391 | 0.0007 |
443
- | 0.0001 | 392.0 | 392 | 0.0007 |
444
- | 0.0001 | 393.0 | 393 | 0.0007 |
445
- | 0.0001 | 394.0 | 394 | 0.0007 |
446
- | 0.0001 | 395.0 | 395 | 0.0007 |
447
- | 0.0001 | 396.0 | 396 | 0.0007 |
448
- | 0.0001 | 397.0 | 397 | 0.0007 |
449
- | 0.0001 | 398.0 | 398 | 0.0007 |
450
- | 0.0001 | 399.0 | 399 | 0.0007 |
451
- | 0.0001 | 400.0 | 400 | 0.0007 |
452
- | 0.0001 | 401.0 | 401 | 0.0007 |
453
- | 0.0001 | 402.0 | 402 | 0.0007 |
454
- | 0.0001 | 403.0 | 403 | 0.0007 |
455
- | 0.0001 | 404.0 | 404 | 0.0007 |
456
- | 0.0001 | 405.0 | 405 | 0.0007 |
457
- | 0.0001 | 406.0 | 406 | 0.0007 |
458
- | 0.0001 | 407.0 | 407 | 0.0007 |
459
- | 0.0001 | 408.0 | 408 | 0.0007 |
460
- | 0.0001 | 409.0 | 409 | 0.0007 |
461
- | 0.0001 | 410.0 | 410 | 0.0007 |
462
- | 0.0001 | 411.0 | 411 | 0.0007 |
463
- | 0.0001 | 412.0 | 412 | 0.0007 |
464
- | 0.0001 | 413.0 | 413 | 0.0007 |
465
- | 0.0001 | 414.0 | 414 | 0.0007 |
466
- | 0.0001 | 415.0 | 415 | 0.0007 |
467
- | 0.0001 | 416.0 | 416 | 0.0007 |
468
- | 0.0001 | 417.0 | 417 | 0.0007 |
469
- | 0.0001 | 418.0 | 418 | 0.0007 |
470
- | 0.0001 | 419.0 | 419 | 0.0007 |
471
- | 0.0001 | 420.0 | 420 | 0.0007 |
472
- | 0.0001 | 421.0 | 421 | 0.0007 |
473
- | 0.0001 | 422.0 | 422 | 0.0007 |
474
- | 0.0001 | 423.0 | 423 | 0.0007 |
475
- | 0.0001 | 424.0 | 424 | 0.0007 |
476
- | 0.0001 | 425.0 | 425 | 0.0007 |
477
- | 0.0001 | 426.0 | 426 | 0.0007 |
478
- | 0.0001 | 427.0 | 427 | 0.0007 |
479
- | 0.0001 | 428.0 | 428 | 0.0007 |
480
- | 0.0001 | 429.0 | 429 | 0.0007 |
481
- | 0.0001 | 430.0 | 430 | 0.0007 |
482
- | 0.0001 | 431.0 | 431 | 0.0007 |
483
- | 0.0001 | 432.0 | 432 | 0.0007 |
484
- | 0.0001 | 433.0 | 433 | 0.0007 |
485
- | 0.0001 | 434.0 | 434 | 0.0007 |
486
- | 0.0001 | 435.0 | 435 | 0.0007 |
487
- | 0.0001 | 436.0 | 436 | 0.0007 |
488
- | 0.0001 | 437.0 | 437 | 0.0007 |
489
- | 0.0001 | 438.0 | 438 | 0.0007 |
490
- | 0.0001 | 439.0 | 439 | 0.0007 |
491
- | 0.0001 | 440.0 | 440 | 0.0007 |
492
- | 0.0001 | 441.0 | 441 | 0.0007 |
493
- | 0.0001 | 442.0 | 442 | 0.0007 |
494
- | 0.0001 | 443.0 | 443 | 0.0007 |
495
- | 0.0001 | 444.0 | 444 | 0.0007 |
496
- | 0.0001 | 445.0 | 445 | 0.0007 |
497
- | 0.0001 | 446.0 | 446 | 0.0007 |
498
- | 0.0001 | 447.0 | 447 | 0.0007 |
499
- | 0.0001 | 448.0 | 448 | 0.0007 |
500
- | 0.0001 | 449.0 | 449 | 0.0007 |
501
- | 0.0001 | 450.0 | 450 | 0.0007 |
502
- | 0.0001 | 451.0 | 451 | 0.0007 |
503
- | 0.0001 | 452.0 | 452 | 0.0007 |
504
- | 0.0001 | 453.0 | 453 | 0.0007 |
505
- | 0.0001 | 454.0 | 454 | 0.0007 |
506
- | 0.0001 | 455.0 | 455 | 0.0007 |
507
- | 0.0001 | 456.0 | 456 | 0.0007 |
508
- | 0.0001 | 457.0 | 457 | 0.0007 |
509
- | 0.0001 | 458.0 | 458 | 0.0007 |
510
- | 0.0001 | 459.0 | 459 | 0.0007 |
511
- | 0.0001 | 460.0 | 460 | 0.0007 |
512
- | 0.0001 | 461.0 | 461 | 0.0007 |
513
- | 0.0001 | 462.0 | 462 | 0.0007 |
514
- | 0.0001 | 463.0 | 463 | 0.0007 |
515
- | 0.0001 | 464.0 | 464 | 0.0007 |
516
- | 0.0001 | 465.0 | 465 | 0.0007 |
517
- | 0.0001 | 466.0 | 466 | 0.0007 |
518
- | 0.0001 | 467.0 | 467 | 0.0007 |
519
- | 0.0001 | 468.0 | 468 | 0.0007 |
520
- | 0.0001 | 469.0 | 469 | 0.0007 |
521
- | 0.0001 | 470.0 | 470 | 0.0007 |
522
- | 0.0001 | 471.0 | 471 | 0.0007 |
523
- | 0.0001 | 472.0 | 472 | 0.0007 |
524
- | 0.0001 | 473.0 | 473 | 0.0007 |
525
- | 0.0001 | 474.0 | 474 | 0.0007 |
526
- | 0.0001 | 475.0 | 475 | 0.0007 |
527
- | 0.0001 | 476.0 | 476 | 0.0007 |
528
- | 0.0001 | 477.0 | 477 | 0.0007 |
529
- | 0.0001 | 478.0 | 478 | 0.0007 |
530
- | 0.0001 | 479.0 | 479 | 0.0007 |
531
- | 0.0001 | 480.0 | 480 | 0.0007 |
532
- | 0.0001 | 481.0 | 481 | 0.0007 |
533
- | 0.0001 | 482.0 | 482 | 0.0007 |
534
- | 0.0001 | 483.0 | 483 | 0.0007 |
535
- | 0.0001 | 484.0 | 484 | 0.0007 |
536
- | 0.0001 | 485.0 | 485 | 0.0007 |
537
- | 0.0001 | 486.0 | 486 | 0.0007 |
538
- | 0.0001 | 487.0 | 487 | 0.0007 |
539
- | 0.0001 | 488.0 | 488 | 0.0007 |
540
- | 0.0001 | 489.0 | 489 | 0.0007 |
541
- | 0.0001 | 490.0 | 490 | 0.0007 |
542
- | 0.0001 | 491.0 | 491 | 0.0007 |
543
- | 0.0001 | 492.0 | 492 | 0.0007 |
544
- | 0.0001 | 493.0 | 493 | 0.0007 |
545
- | 0.0001 | 494.0 | 494 | 0.0007 |
546
- | 0.0001 | 495.0 | 495 | 0.0007 |
547
- | 0.0001 | 496.0 | 496 | 0.0007 |
548
- | 0.0001 | 497.0 | 497 | 0.0007 |
549
- | 0.0001 | 498.0 | 498 | 0.0007 |
550
- | 0.0001 | 499.0 | 499 | 0.0007 |
551
- | 0.0001 | 500.0 | 500 | 0.0007 |
552
-
553
-
554
  ### Framework versions
555
 
556
  - Transformers 4.41.2
 
15
 
16
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - eval_loss: 0.0003
19
+ - eval_runtime: 0.0427
20
+ - eval_samples_per_second: 23.392
21
+ - eval_steps_per_second: 23.392
22
+ - epoch: 21.0
23
+ - step: 21
24
 
25
  ## Model description
26
 
 
39
  ### Training hyperparameters
40
 
41
  The following hyperparameters were used during training:
42
+ - learning_rate: 0.0001
43
  - train_batch_size: 8
44
  - eval_batch_size: 8
45
  - seed: 42
 
50
  - num_epochs: 500
51
  - mixed_precision_training: Native AMP
52
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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55
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