Training in progress epoch 6

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-dapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-dapt-lm-ai) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0982
-- Validation Loss: 1.0637
-- Train Precision: 0.4716
-- Train Recall: 0.4635
-- Train F1: 0.4675
-- Train Accuracy: 0.7155
-- Epoch: 3
+- Train Loss: 0.7656
+- Validation Loss: 0.8288
+- Train Precision: 0.5590
+- Train Recall: 0.5968
+- Train F1: 0.5773
+- Train Accuracy: 0.7761
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,9 @@ The following hyperparameters were used during training:
 | 1.7189     | 1.4888          | 0.1152          | 0.0396       | 0.0589   | 0.5905         | 1     |
 | 1.3060     | 1.2236          | 0.3797          | 0.3564       | 0.3677   | 0.6839         | 2     |
 | 1.0982     | 1.0637          | 0.4716          | 0.4635       | 0.4675   | 0.7155         | 3     |
+| 0.9450     | 0.9504          | 0.5176          | 0.5167       | 0.5171   | 0.7385         | 4     |
+| 0.8398     | 0.8775          | 0.5474          | 0.5671       | 0.5570   | 0.7579         | 5     |
+| 0.7656     | 0.8288          | 0.5590          | 0.5968       | 0.5773   | 0.7761         | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1661703305.3e81d4e42f0b.17.0.v2

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tf_model.h5

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