End of training

README.md

@@ -3,11 +3,6 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: test
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # test
 
 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: 0.6095
-- Precision: 0.8462
-- Recall: 0.6875
-- F1: 0.7586
-- Accuracy: 0.8551
 
 ## Model description
 
@@ -49,22 +38,13 @@ 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: 1000
+- training_steps: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 50.0  | 100  | 0.7047          | 0.7344    | 0.5875 | 0.6528 | 0.8188   |
-| No log        | 100.0 | 200  | 0.5398          | 0.7910    | 0.6625 | 0.7211 | 0.8551   |
-| No log        | 150.0 | 300  | 0.4558          | 0.8986    | 0.775  | 0.8322 | 0.9130   |
-| No log        | 200.0 | 400  | 0.5069          | 0.8824    | 0.75   | 0.8108 | 0.8986   |
-| 0.2856        | 250.0 | 500  | 0.5315          | 0.8824    | 0.75   | 0.8108 | 0.8913   |
-| 0.2856        | 300.0 | 600  | 0.5798          | 0.8507    | 0.7125 | 0.7755 | 0.8696   |
-| 0.2856        | 350.0 | 700  | 0.6103          | 0.8594    | 0.6875 | 0.7639 | 0.8551   |
-| 0.2856        | 400.0 | 800  | 0.6067          | 0.8358    | 0.7    | 0.7619 | 0.8623   |
-| 0.2856        | 450.0 | 900  | 0.5996          | 0.8358    | 0.7    | 0.7619 | 0.8623   |
-| 0.0136        | 500.0 | 1000 | 0.6095          | 0.8462    | 0.6875 | 0.7586 | 0.8551   |
+| No log        | 10.0  | 20   | 0.4199          | 0.7901    | 0.8421 | 0.8153 | 0.8790   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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