mp-02
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layoutlmv3-finetuned-funsd

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layoutlmv3

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mp-02 commited on Aug 24, 2024

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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7215
-- Precision: 0.7822
-- Recall: 0.835
-- F1: 0.8077
-- Accuracy: 0.7967
 ## Model description
@@ -48,24 +48,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 120
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.26  | 10   | 1.7371          | 0.0731    | 0.0865 | 0.0792 | 0.3227   |
-| No log        | 0.53  | 20   | 1.4963          | 0.1509    | 0.1455 | 0.1481 | 0.4538   |
-| No log        | 0.79  | 30   | 1.3013          | 0.3720    | 0.479  | 0.4188 | 0.5965   |
-| No log        | 1.05  | 40   | 1.1550          | 0.5035    | 0.5725 | 0.5358 | 0.6368   |
-| No log        | 1.32  | 50   | 1.0083          | 0.6310    | 0.6525 | 0.6416 | 0.7383   |
-| No log        | 1.58  | 60   | 0.9313          | 0.6742    | 0.713  | 0.6931 | 0.7383   |
-| No log        | 1.84  | 70   | 0.8520          | 0.7156    | 0.7825 | 0.7476 | 0.7545   |
-| No log        | 2.11  | 80   | 0.7900          | 0.7477    | 0.8105 | 0.7778 | 0.7817   |
-| No log        | 2.37  | 90   | 0.8020          | 0.7473    | 0.819  | 0.7815 | 0.7456   |
-| No log        | 2.63  | 100  | 0.7403          | 0.7824    | 0.834  | 0.8074 | 0.7959   |
-| No log        | 2.89  | 110  | 0.7253          | 0.7866    | 0.8365 | 0.8108 | 0.7952   |
-| No log        | 3.16  | 120  | 0.7215          | 0.7822    | 0.835  | 0.8077 | 0.7967   |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6187
+- Precision: 0.8757
+- Recall: 0.9055
+- F1: 0.8904
+- Accuracy: 0.8437
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- training_steps: 500
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.32  | 50   | 0.9063          | 0.7006    | 0.757  | 0.7277 | 0.7607   |
+| No log        | 2.63  | 100  | 0.6387          | 0.7930    | 0.858  | 0.8242 | 0.7967   |
+| No log        | 3.95  | 150  | 0.5691          | 0.8171    | 0.8825 | 0.8486 | 0.8254   |
+| No log        | 5.26  | 200  | 0.5723          | 0.8315    | 0.881  | 0.8555 | 0.8223   |
+| No log        | 6.58  | 250  | 0.5897          | 0.8475    | 0.9    | 0.8729 | 0.8292   |
+| No log        | 7.89  | 300  | 0.6122          | 0.8482    | 0.9025 | 0.8745 | 0.8283   |
+| No log        | 9.21  | 350  | 0.6045          | 0.8505    | 0.899  | 0.8741 | 0.8392   |
+| No log        | 10.53 | 400  | 0.5662          | 0.8708    | 0.9    | 0.8852 | 0.8446   |
+| No log        | 11.84 | 450  | 0.5973          | 0.8739    | 0.9045 | 0.8889 | 0.8437   |
+| 0.4305        | 13.16 | 500  | 0.6187          | 0.8757    | 0.9055 | 0.8904 | 0.8437   |
 ### Framework versions