Training in progress epoch 0

README.md

@@ -14,13 +14,13 @@ 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: 0.9657
-- Train End Logits Sparse Categorical Accuracy: 0.7324
-- Train Start Logits Sparse Categorical Accuracy: 0.6940
-- Validation Loss: 1.1216
-- Validation End Logits Sparse Categorical Accuracy: 0.6979
-- Validation Start Logits Sparse Categorical Accuracy: 0.6642
-- Epoch: 1
+- Train Loss: 1.4902
+- Train End Logits Sparse Categorical Accuracy: 0.6126
+- Train Start Logits Sparse Categorical Accuracy: 0.5751
+- Validation Loss: 1.1502
+- Validation End Logits Sparse Categorical Accuracy: 0.6844
+- Validation Start Logits Sparse Categorical Accuracy: 0.6561
+- Epoch: 0
 
 ## Model description
 
@@ -46,8 +46,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train End Logits Sparse Categorical Accuracy | Train Start Logits Sparse Categorical Accuracy | Validation Loss | Validation End Logits Sparse Categorical Accuracy | Validation Start Logits Sparse Categorical Accuracy | Epoch |
 |:----------:|:--------------------------------------------:|:----------------------------------------------:|:---------------:|:-------------------------------------------------:|:---------------------------------------------------:|:-----:|
-| 1.4605     | 0.6170                                       | 0.5768                                         | 1.1588          | 0.6840                                            | 0.6511                                              | 0     |
-| 0.9657     | 0.7324                                       | 0.6940                                         | 1.1216          | 0.6979                                            | 0.6642                                              | 1     |
+| 1.4902     | 0.6126                                       | 0.5751                                         | 1.1502          | 0.6844                                            | 0.6561                                              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1651676210.matt-TRX40-AORUS-PRO-WIFI.70941.0.v2

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tf_model.h5

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