Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4521
-- Validation Loss: 0.5249
-- Train Accuracy: 0.7986
-- Train Precision: 0.7959
-- Train Recall: 0.7986
-- Train F1: 0.7947
-- Epoch: 1
+- Train Loss: 0.2967
+- Validation Loss: 0.5395
+- Train Accuracy: 0.8097
+- Train Precision: 0.8082
+- Train Recall: 0.8097
+- Train F1: 0.8050
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.6998     | 0.5708          | 0.7604         | 0.7585          | 0.7604       | 0.7569   | 0     |
 | 0.4521     | 0.5249          | 0.7986         | 0.7959          | 0.7986       | 0.7947   | 1     |
+| 0.2967     | 0.5395          | 0.8097         | 0.8082          | 0.8097       | 0.8050   | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716108575.ad51a5f53876.217.2.v2

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logs/validation/events.out.tfevents.1716108665.ad51a5f53876.217.3.v2

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