End of training

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [KM4STfulltext/SSCI-SciBERT-e2](https://huggingface.co/KM4STfulltext/SSCI-SciBERT-e2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1946
+- Train Loss: 0.1916
 - Validation Loss: 0.4552
 - Train F1: 0.7665
-- Epoch: 0
+- Epoch: 4
 
 ## Model description
 
@@ -44,6 +44,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
 | 0.1946     | 0.4552          | 0.7665   | 0     |
+| 0.1944     | 0.4552          | 0.7665   | 1     |
+| 0.1928     | 0.4552          | 0.7665   | 2     |
+| 0.1963     | 0.4552          | 0.7665   | 3     |
+| 0.1916     | 0.4552          | 0.7665   | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1668355739.d9660f07b6a7.242.2.v2

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tf_model.h5

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