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# saviola1.0

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the sroie dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0829
- Precision: 0.8712
- Recall: 0.9010
- F1: 0.8858
- Accuracy: 0.9847

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.35  | 100  | 0.2981          | 0.0423    | 0.0038 | 0.0070 | 0.9178   |
| No log        | 0.7   | 200  | 0.1707          | 0.7509    | 0.7995 | 0.7744 | 0.9670   |
| No log        | 1.05  | 300  | 0.0950          | 0.7939    | 0.8211 | 0.8072 | 0.9778   |
| No log        | 1.4   | 400  | 0.0648          | 0.8191    | 0.8503 | 0.8344 | 0.9850   |
| 0.2168        | 1.75  | 500  | 0.0612          | 0.8316    | 0.8896 | 0.8596 | 0.9860   |
| 0.2168        | 2.1   | 600  | 0.0546          | 0.8752    | 0.9162 | 0.8952 | 0.9884   |
| 0.2168        | 2.45  | 700  | 0.0537          | 0.8789    | 0.9213 | 0.8996 | 0.9885   |
| 0.2168        | 2.8   | 800  | 0.0547          | 0.8669    | 0.9175 | 0.8915 | 0.9881   |
| 0.2168        | 3.15  | 900  | 0.0581          | 0.8672    | 0.9201 | 0.8929 | 0.9879   |
| 0.0364        | 3.5   | 1000 | 0.0591          | 0.8714    | 0.9112 | 0.8908 | 0.9866   |
| 0.0364        | 3.85  | 1100 | 0.0587          | 0.8697    | 0.9061 | 0.8875 | 0.9878   |
| 0.0364        | 4.2   | 1200 | 0.0591          | 0.8626    | 0.9162 | 0.8886 | 0.9879   |
| 0.0364        | 4.55  | 1300 | 0.0718          | 0.8642    | 0.8883 | 0.8761 | 0.9844   |
| 0.0364        | 4.9   | 1400 | 0.0757          | 0.8520    | 0.8985 | 0.8746 | 0.9843   |
| 0.0227        | 5.24  | 1500 | 0.0784          | 0.8414    | 0.8820 | 0.8612 | 0.9831   |
| 0.0227        | 5.59  | 1600 | 0.0729          | 0.8587    | 0.9023 | 0.8800 | 0.9847   |
| 0.0227        | 5.94  | 1700 | 0.0738          | 0.8667    | 0.8997 | 0.8829 | 0.9849   |
| 0.0227        | 6.29  | 1800 | 0.0772          | 0.8722    | 0.9010 | 0.8864 | 0.9847   |
| 0.0227        | 6.64  | 1900 | 0.0756          | 0.8676    | 0.8985 | 0.8828 | 0.9851   |
| 0.0213        | 6.99  | 2000 | 0.0745          | 0.8707    | 0.9061 | 0.8881 | 0.9847   |
| 0.0213        | 7.34  | 2100 | 0.0771          | 0.8681    | 0.9023 | 0.8849 | 0.9848   |
| 0.0213        | 7.69  | 2200 | 0.0794          | 0.8765    | 0.9099 | 0.8929 | 0.9856   |
| 0.0213        | 8.04  | 2300 | 0.0824          | 0.8679    | 0.8921 | 0.8798 | 0.9844   |
| 0.0213        | 8.39  | 2400 | 0.0831          | 0.8687    | 0.8985 | 0.8833 | 0.9842   |
| 0.0163        | 8.74  | 2500 | 0.0829          | 0.8712    | 0.9010 | 0.8858 | 0.9847   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.2.2
- Tokenizers 0.13.2

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["sroie"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "saviola1.0", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "sroie", "type": "sroie", "config": "discharge", "split": "test", "args": "discharge"}, "metrics": [{"type": "precision", "value": 0.8711656441717791, "name": "Precision"}, {"type": "recall", "value": 0.9010152284263959, "name": "Recall"}, {"type": "f1", "value": 0.8858390517779162, "name": "F1"}, {"type": "accuracy", "value": 0.9846545215821434, "name": "Accuracy"}]}]}]}
transformers pytorch layoutlmv3 token-classification generated_from_trainer dataset:sroie license:cc-by-nc-sa-4.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #layoutlmv3 #token-classification #generated_from_trainer #dataset-sroie #license-cc-by-nc-sa-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

saviola1.0
==========


This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0829
* Precision: 0.8712
* Recall: 0.9010
* F1: 0.8858
* Accuracy: 0.9847


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: 1e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* training\_steps: 2500


### Training results



### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.2.2
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* training\_steps: 2500 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.2.2
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #layoutlmv3 #token-classification #generated_from_trainer #dataset-sroie #license-cc-by-nc-sa-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* training\_steps: 2500 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.2.2
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #layoutlmv3 #token-classification #generated_from_trainer #dataset-sroie #license-cc-by-nc-sa-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* training\_steps: 2500### Training results### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.2.2
* Tokenizers 0.13.2