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: 0.0546
-- Validation Loss: 0.0613
-- Train Precision: 0.9107
-- Train Recall: 0.9303
-- Train F1: 0.9204
-- Train Accuracy: 0.9822
-- Epoch: 1
+- Train Loss: 0.0335
+- Validation Loss: 0.0603
+- Train Precision: 0.9219
+- Train Recall: 0.9361
+- Train F1: 0.9290
+- Train Accuracy: 0.9833
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1940     | 0.0711          | 0.8980          | 0.9167       | 0.9072   | 0.9795         | 0     |
 | 0.0546     | 0.0613          | 0.9107          | 0.9303       | 0.9204   | 0.9822         | 1     |
+| 0.0335     | 0.0603          | 0.9219          | 0.9361       | 0.9290   | 0.9833         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1708538171.69e0c3c0e700.911.0.v2

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logs/validation/events.out.tfevents.1708538277.69e0c3c0e700.911.1.v2

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tf_model.h5

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