Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.1270
-- Validation Loss: 0.0668
-- Train Accuracy: {'accuracy': 0.9736581746228048}
-- Train F1: {'f1': 0.9736679441216467}
+- Train Loss: 0.0404
+- Validation Loss: 0.0648
+- Train Accuracy: {'accuracy': 0.9765025970813752}
+- Train F1: {'f1': 0.9766355140186915}
 - Epoch: 0
 
 ## Model description
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy                   | Train F1                   | Epoch |
 |:----------:|:---------------:|:--------------------------------:|:--------------------------:|:-----:|
-| 0.1270     | 0.0668          | {'accuracy': 0.9736581746228048} | {'f1': 0.9736679441216467} | 0     |
+| 0.0404     | 0.0648          | {'accuracy': 0.9765025970813752} | {'f1': 0.9766355140186915} | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8db53c432fdff89a47a7ac305ff3e3ec23d7d668fb6d8a9de0cd50e31f11d5fa
 size 267951808