Training in progress epoch 2

README.md

@@ -15,11 +15,11 @@ 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: 0.1518
-- Train Accuracy: 0.9333
-- Validation Loss: 0.0872
-- Validation Accuracy: 0.9723
-- Epoch: 1
+- Train Loss: 0.2791
+- Train Accuracy: 0.8206
+- Validation Loss: 0.6932
+- Validation Accuracy: 0.4987
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.1087     | 0.9641         | 0.0841          | 0.9756              | 0     |
 | 0.1518     | 0.9333         | 0.0872          | 0.9723              | 1     |
+| 0.2791     | 0.8206         | 0.6932          | 0.4987              | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1704906420.36939708d1f1.3712.4.v2

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tf_model.h5

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