Training in progress epoch 6

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0086
-- Validation Loss: 0.7735
+- Train Loss: 0.4889
+- Validation Loss: 0.5463
 - Train Accuracy: 0.7222
-- Epoch: 0
+- Epoch: 6
 
 ## Model description
 
@@ -44,6 +44,12 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.0086     | 0.7735          | 0.7222         | 0     |
+| 0.9324     | 0.7098          | 0.7222         | 1     |
+| 0.8714     | 0.6892          | 0.7222         | 2     |
+| 0.7462     | 0.5248          | 0.7222         | 3     |
+| 0.6146     | 0.5033          | 0.8333         | 4     |
+| 0.5717     | 0.5689          | 0.6944         | 5     |
+| 0.4889     | 0.5463          | 0.7222         | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1704215978.104-171-203-254.2122810.2.v2

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tf_model.h5

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