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library_name: transformers
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: layoutlm-receipts
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. -->
# layoutlm-receipts
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2190
- Precision: 0.2222
- Recall: 0.4
- F1: 0.2857
## 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
- 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
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.7275 | 1.0 | 8 | 0.8111 | 0.0 | 0.0 | 0.0 |
| 0.6014 | 2.0 | 16 | 0.6757 | 0.0 | 0.0 | 0.0 |
| 0.5061 | 3.0 | 24 | 0.5598 | 0.0 | 0.0 | 0.0 |
| 0.4025 | 4.0 | 32 | 0.4736 | 0.0 | 0.0 | 0.0 |
| 0.3486 | 5.0 | 40 | 0.4236 | 0.0571 | 0.1 | 0.0727 |
| 0.3318 | 6.0 | 48 | 0.3784 | 0.0377 | 0.1 | 0.0548 |
| 0.2649 | 7.0 | 56 | 0.3338 | 0.1064 | 0.25 | 0.1493 |
| 0.1982 | 8.0 | 64 | 0.2808 | 0.25 | 0.4 | 0.3077 |
| 0.1658 | 9.0 | 72 | 0.2388 | 0.1778 | 0.4 | 0.2462 |
| 0.1637 | 10.0 | 80 | 0.2190 | 0.2222 | 0.4 | 0.2857 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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