Training in progress epoch 1

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: 0.8880
-- Train Sparse Categorical Accuracy: 0.6390
-- Validation Loss: 0.6278
-- Validation Sparse Categorical Accuracy: 0.7548
-- Epoch: 0
+- Train Loss: 0.4013
+- Train Sparse Categorical Accuracy: 0.8492
+- Validation Loss: 0.6280
+- Validation Sparse Categorical Accuracy: 0.7750
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 0.8880     | 0.6390                            | 0.6278          | 0.7548                                 | 0     |
+| 0.4013     | 0.8492                            | 0.6280          | 0.7750                                 | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1643382535.matt-TRX40-AORUS-PRO-WIFI.31912.0.v2

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logs/validation/events.out.tfevents.1643383287.matt-TRX40-AORUS-PRO-WIFI.31912.1.v2

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tf_model.h5

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