---
base_model: HuggingFaceM4/Florence-2-DocVQA
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: florence_ft
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jenashreyas/florence_entity_extraction_ft/runs/zobmh6l8)
# florence_ft

This model is a fine-tuned version of [HuggingFaceM4/Florence-2-DocVQA](https://huggingface.co/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