adityaprakhar
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test

Token Classification

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adityaprakhar commited on Mar 7, 2024

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@@ -20,11 +20,11 @@ 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: 1.1773
-- Precision: 0.6923
-- Recall: 0.7297
-- F1: 0.7105
-- Accuracy: 0.7383
 ## Model description
@@ -49,15 +49,22 @@ 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: 60
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.54  | 20   | 1.5463          | 0.6479    | 0.6216 | 0.6345 | 0.6729   |
-| No log        | 3.08  | 40   | 1.2593          | 0.6709    | 0.7162 | 0.6928 | 0.7196   |
-| No log        | 4.62  | 60   | 1.1773          | 0.6923    | 0.7297 | 0.7105 | 0.7383   |
 ### 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: 0.3848
+- Precision: 0.8205
+- Recall: 0.8649
+- F1: 0.8421
+- Accuracy: 0.8505
 ## 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        | 3.85  | 50   | 0.5998          | 0.7848    | 0.8378 | 0.8105 | 0.8224   |
+| No log        | 7.69  | 100  | 0.4655          | 0.8       | 0.8649 | 0.8312 | 0.8505   |
+| No log        | 11.54 | 150  | 0.4716          | 0.7949    | 0.8378 | 0.8158 | 0.8318   |
+| No log        | 15.38 | 200  | 0.4252          | 0.8354    | 0.8919 | 0.8627 | 0.8598   |
+| No log        | 19.23 | 250  | 0.4485          | 0.8       | 0.8649 | 0.8312 | 0.8411   |
+| No log        | 23.08 | 300  | 0.4121          | 0.7875    | 0.8514 | 0.8182 | 0.8318   |
+| No log        | 26.92 | 350  | 0.3892          | 0.8205    | 0.8649 | 0.8421 | 0.8505   |
+| No log        | 30.77 | 400  | 0.4003          | 0.8205    | 0.8649 | 0.8421 | 0.8505   |
+| No log        | 34.62 | 450  | 0.3827          | 0.8462    | 0.8919 | 0.8684 | 0.8785   |
+| 0.1768        | 38.46 | 500  | 0.3848          | 0.8205    | 0.8649 | 0.8421 | 0.8505   |
 ### Framework versions