Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 5.7305
-- Validation Loss: 6.7004
-- Train Accuracy: 0.0298
-- Epoch: 1
+- Train Loss: 5.0280
+- Validation Loss: 6.3652
+- Train Accuracy: 0.0495
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 6.9163     | 7.1432          | 0.0160         | 0     |
 | 5.7305     | 6.7004          | 0.0298         | 1     |
+| 5.0280     | 6.3652          | 0.0495         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1679745532.209c830f14a4.306.8.v2

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tf_model.h5

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