Training in progress epoch 5

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: 0.0074
-- Validation Loss: 0.1164
-- Train Precision: 0.8788
-- Train Recall: 0.8852
-- Train F1: 0.8820
+- Train Loss: 0.0058
+- Validation Loss: 0.1195
+- Train Precision: 0.8752
+- Train Recall: 0.8882
+- Train F1: 0.8816
 - Train Accuracy: 0.9750
-- Epoch: 4
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.0171     | 0.0983          | 0.8647          | 0.8921       | 0.8782   | 0.9741         | 2     |
 | 0.0107     | 0.1055          | 0.8740          | 0.8915       | 0.8827   | 0.9751         | 3     |
 | 0.0074     | 0.1164          | 0.8788          | 0.8852       | 0.8820   | 0.9750         | 4     |
+| 0.0058     | 0.1195          | 0.8752          | 0.8882       | 0.8816   | 0.9750         | 5     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701442367.snek.4295.0.v2

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logs/validation/events.out.tfevents.1701443932.snek.4295.1.v2

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metrics_by_entity.txt

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tf_model.h5

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