madiltalay's picture
End of training
3539648
metadata
license: cc-by-nc-sa-4.0
tags:
  - generated_from_trainer
model-index:
  - name: layoutlmv2-base-uncased_finetuned_docvqa
    results: []

layoutlmv2-base-uncased_finetuned_docvqa

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.6030

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
5.326 0.22 50 4.4949
4.292 0.44 100 3.9510
3.9419 0.66 150 3.9100
3.6895 0.88 200 3.5035
3.4052 1.11 250 3.4030
3.1405 1.33 300 3.2100
2.8966 1.55 350 2.9803
2.7874 1.77 400 2.7811
2.5385 1.99 450 2.4748
2.1532 2.21 500 2.5843
1.994 2.43 550 2.5459
1.8322 2.65 600 2.2316
1.7005 2.88 650 2.1888
1.4758 3.1 700 2.4578
1.3543 3.32 750 2.3368
1.1939 3.54 800 2.9737
1.294 3.76 850 2.4907
1.4519 3.98 900 1.9276
1.0517 4.2 950 2.9981
0.8171 4.42 1000 2.5618
1.0456 4.65 1050 2.3139
0.9222 4.87 1100 2.4243
0.758 5.09 1150 2.8167
0.7203 5.31 1200 2.9342
0.6748 5.53 1250 2.6396
0.6821 5.75 1300 2.5629
0.5898 5.97 1350 3.0276
0.3135 6.19 1400 3.2611
0.4407 6.42 1450 3.1793
0.5303 6.64 1500 3.0511
0.5294 6.86 1550 3.1106
0.3149 7.08 1600 3.2933
0.199 7.3 1650 3.4207
0.164 7.52 1700 3.4379
0.5258 7.74 1750 3.1339
0.336 7.96 1800 3.2394
0.3294 8.19 1850 3.0956
0.1587 8.41 1900 3.4282
0.2375 8.63 1950 3.3718
0.117 8.85 2000 3.5646
0.2873 9.07 2050 3.5213
0.2206 9.29 2100 3.5387
0.2503 9.51 2150 3.5683
0.0763 9.73 2200 3.6119
0.1344 9.96 2250 3.6030

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3