Training in progress, epoch 1

README.md

@@ -21,11 +21,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2200
-- Precision: 0.4808
-- Recall: 0.7469
-- F1: 0.5850
-- Accuracy: 0.9620
+- Loss: 0.1871
+- Precision: 0.5786
+- Recall: 0.8409
+- F1: 0.6855
+- Accuracy: 0.9642
 
 ## Model description
 
@@ -44,9 +44,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 2
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 150  | 0.2635          | 0.0       | 0.0    | 0.0    | 0.9556   |
-| No log        | 2.0   | 300  | 0.1821          | 0.3558    | 0.5329 | 0.4267 | 0.9571   |
-| No log        | 3.0   | 450  | 0.1810          | 0.4170    | 0.6461 | 0.5069 | 0.9575   |
-| 0.5190        | 4.0   | 600  | 0.2093          | 0.3975    | 0.6461 | 0.4922 | 0.9549   |
-| 0.5190        | 5.0   | 750  | 0.1810          | 0.4432    | 0.6584 | 0.5298 | 0.9617   |
-| 0.5190        | 6.0   | 900  | 0.2108          | 0.4622    | 0.7160 | 0.5617 | 0.9614   |
-| 0.0314        | 7.0   | 1050 | 0.2065          | 0.4612    | 0.7222 | 0.5630 | 0.9602   |
-| 0.0314        | 8.0   | 1200 | 0.2199          | 0.4808    | 0.7469 | 0.5850 | 0.9620   |
-| 0.0314        | 9.0   | 1350 | 0.2267          | 0.4681    | 0.7551 | 0.5780 | 0.9602   |
-| 0.0134        | 10.0  | 1500 | 0.2220          | 0.4735    | 0.7551 | 0.5821 | 0.9608   |
+| No log        | 1.0   | 75   | 0.2765          | 0.1163    | 0.0085 | 0.0158 | 0.9475   |
+| No log        | 2.0   | 150  | 0.2360          | 0.3530    | 0.5059 | 0.4159 | 0.9442   |
+| No log        | 3.0   | 225  | 0.1932          | 0.4933    | 0.6853 | 0.5737 | 0.9565   |
+| No log        | 4.0   | 300  | 0.1926          | 0.5808    | 0.7665 | 0.6608 | 0.9639   |
+| No log        | 5.0   | 375  | 0.1953          | 0.5471    | 0.8257 | 0.6581 | 0.9607   |
+| No log        | 6.0   | 450  | 0.1872          | 0.5786    | 0.8409 | 0.6855 | 0.9642   |
+| 0.2664        | 7.0   | 525  | 0.1742          | 0.6259    | 0.7360 | 0.6765 | 0.9692   |
+| 0.2664        | 8.0   | 600  | 0.2054          | 0.5395    | 0.7851 | 0.6396 | 0.9600   |
+| 0.2664        | 9.0   | 675  | 0.1996          | 0.5558    | 0.7580 | 0.6414 | 0.9638   |
+| 0.2664        | 10.0  | 750  | 0.1979          | 0.5583    | 0.7530 | 0.6412 | 0.9641   |
 
 
 ### Framework versions

model.safetensors

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