Training in progress epoch 25

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0230
-- Validation Loss: 3.4253
-- Train F1: 0.4311
-- Train Accuracy: 0.5250
-- Epoch: 20
+- Train Loss: 0.0126
+- Validation Loss: 3.6501
+- Train F1: 0.4317
+- Train Accuracy: 0.5275
+- Epoch: 25
 
 ## Model description
 
@@ -65,6 +65,11 @@ The following hyperparameters were used during training:
 | 0.0298     | 3.3675          | 0.4252   | 0.5307         | 18    |
 | 0.0255     | 3.4341          | 0.4148   | 0.5217         | 19    |
 | 0.0230     | 3.4253          | 0.4311   | 0.5250         | 20    |
+| 0.0195     | 3.5133          | 0.4278   | 0.5233         | 21    |
+| 0.0166     | 3.5915          | 0.4277   | 0.5301         | 22    |
+| 0.0165     | 3.5547          | 0.4191   | 0.5340         | 23    |
+| 0.0142     | 3.6109          | 0.4333   | 0.5362         | 24    |
+| 0.0126     | 3.6501          | 0.4317   | 0.5275         | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:31d3d358a2efc883e5b03b8e23e9a9dc9385652d85f801db235697f9b397d722
 size 268031680