Training in progress epoch 0

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3754
-- Train Sparse Categorical Accuracy: 0.8610
-- Validation Loss: 0.6098
-- Validation Sparse Categorical Accuracy: 0.7808
-- Epoch: 1
+- Train Loss: 0.8709
+- Train Accuracy: 0.6465
+- Validation Loss: 0.6167
+- Validation Accuracy: 0.7590
+- Epoch: 0
 
 ## Model description
 
@@ -42,10 +42,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
-|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 0.8585     | 0.6547                            | 0.6112          | 0.7589                                 | 0     |
-| 0.3754     | 0.8610                            | 0.6098          | 0.7808                                 | 1     |
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.8709     | 0.6465         | 0.6167          | 0.7590              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1658334081.matt-TRX40-AORUS-PRO-WIFI.157830.0.v2

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tf_model.h5

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