File size: 2,706 Bytes
778d079 197c62e 778d079 197c62e 778d079 197c62e 778d079 05c79fd cfc0768 09e6d88 197c62e 778d079 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-cord-tf
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# layoutlm-cord-tf
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0418
- Validation Loss: 0.1882
- Train Overall Precision: 0.9468
- Train Overall Recall: 0.9490
- Train Overall F1: 0.9479
- Train Overall Accuracy: 0.9652
- Epoch: 7
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.3129 | 0.5622 | 0.8065 | 0.8120 | 0.8093 | 0.8579 | 0 |
| 0.3927 | 0.2756 | 0.8965 | 0.8965 | 0.8965 | 0.9291 | 1 |
| 0.2136 | 0.1945 | 0.9233 | 0.9254 | 0.9244 | 0.9499 | 2 |
| 0.1335 | 0.1814 | 0.9363 | 0.9399 | 0.9381 | 0.9550 | 3 |
| 0.0915 | 0.1956 | 0.9390 | 0.9482 | 0.9436 | 0.9571 | 4 |
| 0.0810 | 0.2157 | 0.9392 | 0.9399 | 0.9395 | 0.9559 | 5 |
| 0.0628 | 0.1726 | 0.9410 | 0.9467 | 0.9439 | 0.9618 | 6 |
| 0.0418 | 0.1882 | 0.9468 | 0.9490 | 0.9479 | 0.9652 | 7 |
### Framework versions
- Transformers 4.41.0.dev0
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1
|