End of training

README.md

@@ -2,11 +2,6 @@
 license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: LayoutLMv3_5_entities_filtred_14
   results: []
@@ -18,12 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # LayoutLMv3_5_entities_filtred_14
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5653
-- Precision: 0.6429
-- Recall: 0.6667
-- F1: 0.6545
-- Accuracy: 0.9342
 
 ## Model description
 
@@ -50,32 +39,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 2000
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 12.5  | 100  | 0.4201          | 0.5333    | 0.5926 | 0.5614 | 0.9167   |
-| No log        | 25.0  | 200  | 0.4807          | 0.6154    | 0.5926 | 0.6038 | 0.9254   |
-| No log        | 37.5  | 300  | 0.4805          | 0.6538    | 0.6296 | 0.6415 | 0.9342   |
-| No log        | 50.0  | 400  | 0.4888          | 0.6296    | 0.6296 | 0.6296 | 0.9298   |
-| 0.0879        | 62.5  | 500  | 0.4969          | 0.6296    | 0.6296 | 0.6296 | 0.9298   |
-| 0.0879        | 75.0  | 600  | 0.5182          | 0.6667    | 0.6667 | 0.6667 | 0.9342   |
-| 0.0879        | 87.5  | 700  | 0.5280          | 0.6552    | 0.7037 | 0.6786 | 0.9386   |
-| 0.0879        | 100.0 | 800  | 0.5568          | 0.6       | 0.6667 | 0.6316 | 0.9298   |
-| 0.0879        | 112.5 | 900  | 0.5719          | 0.6333    | 0.7037 | 0.6667 | 0.9342   |
-| 0.0014        | 125.0 | 1000 | 0.5483          | 0.5862    | 0.6296 | 0.6071 | 0.9254   |
-| 0.0014        | 137.5 | 1100 | 0.5467          | 0.6207    | 0.6667 | 0.6429 | 0.9298   |
-| 0.0014        | 150.0 | 1200 | 0.5493          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0014        | 162.5 | 1300 | 0.5528          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0014        | 175.0 | 1400 | 0.5557          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0003        | 187.5 | 1500 | 0.5592          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0003        | 200.0 | 1600 | 0.5627          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0003        | 212.5 | 1700 | 0.5637          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0003        | 225.0 | 1800 | 0.5645          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0003        | 237.5 | 1900 | 0.5652          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-| 0.0002        | 250.0 | 2000 | 0.5653          | 0.6429    | 0.6667 | 0.6545 | 0.9342   |
-
-
 ### Framework versions
 
 - Transformers 4.29.2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2fea93de0dc982aad162ad019f76acc64c5f7687cd9e1b228c330ed561deab1b
+oid sha256:ce980984ec5d1412c7e1931d406556eca55de6731187e74d6f18ee83597ccd90
 size 1428423918

runs/Nov09_14-00-54_c08fbc1e86d4/1699540129.4157465/events.out.tfevents.1699540129.c08fbc1e86d4.682.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:814394105832b5ec8aba6ae62901373d941108beb9713c21f8c4bae9f2e0459e
+size 5987

runs/Nov09_14-00-54_c08fbc1e86d4/events.out.tfevents.1699538823.c08fbc1e86d4.682.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9d3dcf4abb02fbbd0a003e638ca1762a88d775923c6c0da9f56a87d0a13c74f
-size 15022
+oid sha256:e2aab721e3cd5c4b668c62eeb46895a2148a4d7deb39f5ecca31b402100c493b
+size 15376

runs/Nov09_14-00-54_c08fbc1e86d4/events.out.tfevents.1699540129.c08fbc1e86d4.682.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64b3a4a2a8fefd39413f381811720086174fa3804877e35f614364824bfb66fb
+size 4184