Training in progress epoch 0

README.md

@@ -15,11 +15,11 @@ 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: 0.3965
-- Train Binary Accuracy: 0.8436
-- Validation Loss: 0.4068
-- Validation Binary Accuracy: 0.8635
-- Train Recall: 0.1171
+- Train Loss: 0.3426
+- Train Binary Accuracy: 0.8739
+- Validation Loss: 0.4163
+- Validation Binary Accuracy: 0.8865
+- Train Recall: 0.9797
 - Epoch: 0
 
 ## Model description
@@ -46,12 +46,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Train Recall | Epoch |
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:------------:|:-----:|
-| 0.3965     | 0.8436                | 0.4068          | 0.8635                     | 0.1171       | 0     |
+| 0.3426     | 0.8739                | 0.4163          | 0.8865                     | 0.9797       | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
-- TensorFlow 2.12.0
-- Datasets 2.14.2
+- TensorFlow 2.11.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3

tf_model.h5

@@ -1,3 +1,3 @@
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