Training in progress epoch 0

README.md

@@ -16,13 +16,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9672
-- Validation Loss: 0.8009
-- Train Overall Precision: 0.6062
-- Train Overall Recall: 0.7215
-- Train Overall F1: 0.6589
-- Train Overall Accuracy: 0.7453
-- Epoch: 1
+- Train Loss: nan
+- Validation Loss: nan
+- Train Overall Precision: 0.0
+- Train Overall Recall: 0.0
+- Train Overall F1: 0.0
+- Train Overall Accuracy: 0.2750
+- Epoch: 0
 
 ## Model description
 
@@ -48,8 +48,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.4892     | 1.1376          | 0.4096                  | 0.3648               | 0.3859           | 0.6074                 | 0     |
-| 0.9672     | 0.8009          | 0.6062                  | 0.7215               | 0.6589           | 0.7453                 | 1     |
+| nan        | nan             | 0.0                     | 0.0                  | 0.0              | 0.2750                 | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dc562957e151c2bd2edfaa5c3a5f67f7b09679ef8f2918ca534fc8ea1d20038d
 size 450829256