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: 2.5823
-- Validation Loss: 1.6226
+- Train Loss: 1.8125
+- Validation Loss: 1.0800
 - Train Precision: 0.0
 - Train Recall: 0.0
 - Train F1: 0.0
 - Train Accuracy: 0.7877
-- Epoch: 0
+- 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 2.5823     | 1.6226          | 0.0             | 0.0          | 0.0      | 0.7877         | 0     |
+| 1.8125     | 1.0800          | 0.0             | 0.0          | 0.0      | 0.7877         | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1717223816.001c8d599ff7.201.0.v2

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tf_model.h5

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