layoutlmv3-funsd-keyvalue-production
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1377
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3217 | 1.0 | 28 | 6.2917 |
| 6.1465 | 2.0 | 56 | 6.0874 |
| 5.94 | 3.0 | 84 | 5.8007 |
| 5.6389 | 4.0 | 112 | 5.5012 |
| 5.33 | 5.0 | 140 | 5.3397 |
| 5.206 | 6.0 | 168 | 5.2662 |
| 5.0155 | 7.0 | 196 | 5.2269 |
| 5.0113 | 8.0 | 224 | 5.1903 |
| 4.8994 | 9.0 | 252 | 5.1748 |
| 4.9547 | 10.0 | 280 | 5.1488 |
| 4.7155 | 11.0 | 308 | 5.1344 |
| 4.8377 | 12.0 | 336 | 5.1279 |
| 4.7015 | 13.0 | 364 | 5.1313 |
| 4.6732 | 14.0 | 392 | 5.1235 |
| 4.7046 | 15.0 | 420 | 5.1504 |
| 4.6272 | 16.0 | 448 | 5.1377 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.0
- Tokenizers 0.22.1
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Razgulyaistan/layoutlmv3-funsd-keyvalue-production
Base model
microsoft/layoutlmv3-base