Training in progress epoch 1

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: 0.1337
-- Validation Loss: 0.0643
-- Train Precision: 0.9133
-- Train Recall: 0.9295
-- Train F1: 0.9213
-- Train Accuracy: 0.9817
-- Epoch: 0
+- Train Loss: 0.0404
+- Validation Loss: 0.0550
+- Train Precision: 0.9261
+- Train Recall: 0.9413
+- Train F1: 0.9336
+- Train Accuracy: 0.9846
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1337     | 0.0643          | 0.9133          | 0.9295       | 0.9213   | 0.9817         | 0     |
+| 0.0404     | 0.0550          | 0.9261          | 0.9413       | 0.9336   | 0.9846         | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1695056181.ubuntu22.80468.0.v2

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tf_model.h5

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