Training in progress epoch 2

README.md

@@ -15,10 +15,10 @@ 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: 0.5801
-- Validation Loss: 0.5193
-- Train Accuracy: 0.7505
-- Epoch: 1
+- Train Loss: 0.4985
+- Validation Loss: 0.4806
+- Train Accuracy: 0.8163
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6374     | 0.6266          | 0.6737         | 0     |
 | 0.5801     | 0.5193          | 0.7505         | 1     |
+| 0.4985     | 0.4806          | 0.8163         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1713072231.67e07a3d9181.507.0.v2

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logs/validation/events.out.tfevents.1713072291.67e07a3d9181.507.1.v2

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tf_model.h5

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