Training in progress epoch 0

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: 4.6309
+- Train Loss: 4.5317
 - Validation Loss: 6.2676
 - Train Accuracy: 0.0543
-- Epoch: 3
+- Epoch: 0
 
 ## Model description
 
@@ -43,10 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 6.9163     | 7.1432          | 0.0160         | 0     |
-| 5.7305     | 6.7004          | 0.0298         | 1     |
-| 5.0280     | 6.3652          | 0.0495         | 2     |
-| 4.6309     | 6.2676          | 0.0543         | 3     |
+| 4.5317     | 6.2676          | 0.0543         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1679746729.209c830f14a4.306.10.v2

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logs/validation/events.out.tfevents.1679746936.209c830f14a4.306.11.v2

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tf_model.h5

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