Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3459
-- Validation Loss: 0.8538
-- Train Accuracy: 0.6847
-- Train Precision: 0.7043
-- Train Recall: 0.6847
-- Train F1: 0.6855
-- Epoch: 1
+- Train Loss: 0.5449
+- Validation Loss: 0.6913
+- Train Accuracy: 0.7078
+- Train Precision: 0.7255
+- Train Recall: 0.7078
+- Train F1: 0.7062
+- Epoch: 0
 
 ## Model description
 
@@ -47,8 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.5459     | 0.7333          | 0.6880         | 0.7015          | 0.6880       | 0.6863   | 0     |
-| 0.3459     | 0.8538          | 0.6847         | 0.7043          | 0.6847       | 0.6855   | 1     |
+| 0.5449     | 0.6913          | 0.7078         | 0.7255          | 0.7078       | 0.7062   | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716354550.8757dfa8e858.819.0.v2

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logs/validation/events.out.tfevents.1716355219.8757dfa8e858.819.1.v2

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tf_model.h5

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