Training in progress epoch 0

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: 1.1570
-- Train End Logits Accuracy: 0.6793
-- Train Start Logits Accuracy: 0.6569
-- Validation Loss: 1.4476
-- Validation End Logits Accuracy: 0.6210
-- Validation Start Logits Accuracy: 0.5990
-- Epoch: 1
+- Train Loss: 2.0151
+- Train End Logits Accuracy: 0.4895
+- Train Start Logits Accuracy: 0.4712
+- Validation Loss: 1.4940
+- Validation End Logits Accuracy: 0.6022
+- Validation Start Logits Accuracy: 0.5863
+- Epoch: 0
 
 ## Model description
 
@@ -47,8 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 2.0576     | 0.4779                    | 0.4592                      | 1.4984          | 0.6130                         | 0.5891                           | 0     |
-| 1.1570     | 0.6793                    | 0.6569                      | 1.4476          | 0.6210                         | 0.5990                           | 1     |
+| 2.0151     | 0.4895                    | 0.4712                      | 1.4940          | 0.6022                         | 0.5863                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1705388138.4f6e36fbac36.78.0.v2

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logs/validation/events.out.tfevents.1705388816.4f6e36fbac36.78.1.v2

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tf_model.h5

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