metadata
base_model: HuggingFaceM4/Florence-2-DocVQA
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: florence_ft
results: []
florence_ft
This model is a fine-tuned version of HuggingFaceM4/Florence-2-DocVQA on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0500
- Accuracy: 0.0
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 7 | 1.4280 | 0.0 |
| 2.3602 | 2.0 | 14 | 1.2109 | 0.0 |
| 1.0245 | 3.0 | 21 | 1.2202 | 0.0 |
| 1.0245 | 4.0 | 28 | 1.2606 | 0.0 |
| 0.929 | 5.0 | 35 | 1.2130 | 0.0 |
| 0.8584 | 6.0 | 42 | 1.1525 | 0.0 |
| 0.8584 | 7.0 | 49 | 1.0689 | 0.0 |
| 0.7889 | 8.0 | 56 | 1.0324 | 0.0 |
| 0.7719 | 9.0 | 63 | 1.0274 | 0.0 |
| 0.7284 | 10.0 | 70 | 1.0232 | 0.0 |
| 0.7284 | 11.0 | 77 | 1.0275 | 0.0 |
| 0.6993 | 12.0 | 84 | 1.0357 | 0.0 |
| 0.688 | 13.0 | 91 | 1.0444 | 0.0 |
| 0.688 | 14.0 | 98 | 1.0427 | 0.0 |
| 0.6764 | 15.0 | 105 | 1.0408 | 0.0 |
| 0.6521 | 16.0 | 112 | 1.0217 | 0.0 |
| 0.6521 | 17.0 | 119 | 1.0021 | 0.0 |
| 0.6511 | 18.0 | 126 | 1.0037 | 0.0 |
| 0.637 | 19.0 | 133 | 1.0241 | 0.0 |
| 0.6348 | 20.0 | 140 | 1.0314 | 0.0 |
| 0.6348 | 21.0 | 147 | 1.0510 | 0.0 |
| 0.6165 | 22.0 | 154 | 1.0596 | 0.0 |
| 0.6245 | 23.0 | 161 | 1.0526 | 0.0 |
| 0.6245 | 24.0 | 168 | 1.0489 | 0.0 |
| 0.6107 | 25.0 | 175 | 1.0402 | 0.0 |
| 0.6012 | 26.0 | 182 | 1.0453 | 0.0 |
| 0.6012 | 27.0 | 189 | 1.0450 | 0.0 |
| 0.5995 | 28.0 | 196 | 1.0416 | 0.0 |
| 0.5975 | 29.0 | 203 | 1.0469 | 0.0 |
| 0.5834 | 30.0 | 210 | 1.0590 | 0.0 |
| 0.5834 | 31.0 | 217 | 1.0518 | 0.0 |
| 0.585 | 32.0 | 224 | 1.0644 | 0.0 |
| 0.5846 | 33.0 | 231 | 1.0692 | 0.0 |
| 0.5846 | 34.0 | 238 | 1.0526 | 0.0 |
| 0.5842 | 35.0 | 245 | 1.0608 | 0.0 |
| 0.5783 | 36.0 | 252 | 1.0644 | 0.0 |
| 0.5783 | 37.0 | 259 | 1.0479 | 0.0 |
| 0.5899 | 38.0 | 266 | 1.0503 | 0.0 |
| 0.5766 | 39.0 | 273 | 1.0502 | 0.0 |
| 0.575 | 40.0 | 280 | 1.0606 | 0.0 |
| 0.575 | 41.0 | 287 | 1.0568 | 0.0 |
| 0.569 | 42.0 | 294 | 1.0587 | 0.0 |
| 0.5673 | 43.0 | 301 | 1.0670 | 0.0 |
| 0.5673 | 44.0 | 308 | 1.0699 | 0.0 |
| 0.5663 | 45.0 | 315 | 1.0731 | 0.0 |
| 0.5681 | 46.0 | 322 | 1.0819 | 0.0 |
| 0.5681 | 47.0 | 329 | 1.0885 | 0.0 |
| 0.5578 | 48.0 | 336 | 1.0928 | 0.0 |
| 0.5641 | 49.0 | 343 | 1.0937 | 0.0 |
| 0.5657 | 50.0 | 350 | 1.0815 | 0.0 |
| 0.5657 | 51.0 | 357 | 1.0746 | 0.0 |
| 0.5583 | 52.0 | 364 | 1.0672 | 0.0 |
| 0.5664 | 53.0 | 371 | 1.0643 | 0.0 |
| 0.5664 | 54.0 | 378 | 1.0648 | 0.0 |
| 0.5614 | 55.0 | 385 | 1.0605 | 0.0 |
| 0.5592 | 56.0 | 392 | 1.0610 | 0.0 |
| 0.5592 | 57.0 | 399 | 1.0587 | 0.0 |
| 0.5542 | 58.0 | 406 | 1.0614 | 0.0 |
| 0.5629 | 59.0 | 413 | 1.0573 | 0.0 |
| 0.549 | 60.0 | 420 | 1.0573 | 0.0 |
| 0.549 | 61.0 | 427 | 1.0559 | 0.0 |
| 0.5573 | 62.0 | 434 | 1.0581 | 0.0 |
| 0.5656 | 63.0 | 441 | 1.0548 | 0.0 |
| 0.5656 | 64.0 | 448 | 1.0515 | 0.0 |
| 0.5489 | 65.0 | 455 | 1.0517 | 0.0 |
| 0.5531 | 66.0 | 462 | 1.0514 | 0.0 |
| 0.5531 | 67.0 | 469 | 1.0546 | 0.0 |
| 0.5463 | 68.0 | 476 | 1.0553 | 0.0 |
| 0.5527 | 69.0 | 483 | 1.0580 | 0.0 |
| 0.554 | 70.0 | 490 | 1.0559 | 0.0 |
| 0.554 | 71.0 | 497 | 1.0555 | 0.0 |
| 0.5524 | 72.0 | 504 | 1.0566 | 0.0 |
| 0.5498 | 73.0 | 511 | 1.0560 | 0.0 |
| 0.5498 | 74.0 | 518 | 1.0569 | 0.0 |
| 0.5592 | 75.0 | 525 | 1.0565 | 0.0 |
| 0.561 | 76.0 | 532 | 1.0515 | 0.0 |
| 0.561 | 77.0 | 539 | 1.0494 | 0.0 |
| 0.5473 | 78.0 | 546 | 1.0507 | 0.0 |
| 0.5493 | 79.0 | 553 | 1.0506 | 0.0 |
| 0.5532 | 80.0 | 560 | 1.0491 | 0.0 |
| 0.5532 | 81.0 | 567 | 1.0498 | 0.0 |
| 0.5484 | 82.0 | 574 | 1.0481 | 0.0 |
| 0.5523 | 83.0 | 581 | 1.0511 | 0.0 |
| 0.5523 | 84.0 | 588 | 1.0498 | 0.0 |
| 0.5496 | 85.0 | 595 | 1.0504 | 0.0 |
| 0.5485 | 86.0 | 602 | 1.0499 | 0.0 |
| 0.5485 | 87.0 | 609 | 1.0501 | 0.0 |
| 0.5418 | 88.0 | 616 | 1.0501 | 0.0 |
| 0.5547 | 89.0 | 623 | 1.0521 | 0.0 |
| 0.5435 | 90.0 | 630 | 1.0511 | 0.0 |
| 0.5435 | 91.0 | 637 | 1.0502 | 0.0 |
| 0.5488 | 92.0 | 644 | 1.0506 | 0.0 |
| 0.5472 | 93.0 | 651 | 1.0506 | 0.0 |
| 0.5472 | 94.0 | 658 | 1.0503 | 0.0 |
| 0.5521 | 95.0 | 665 | 1.0507 | 0.0 |
| 0.5485 | 96.0 | 672 | 1.0509 | 0.0 |
| 0.5485 | 97.0 | 679 | 1.0500 | 0.0 |
| 0.5611 | 98.0 | 686 | 1.0514 | 0.0 |
| 0.5517 | 99.0 | 693 | 1.0508 | 0.0 |
| 0.5574 | 100.0 | 700 | 1.0500 | 0.0 |
Framework versions
- Transformers 4.42.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1