Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ 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: 0.0630
-- Validation Loss: 0.1013
-- Train Precision: 0.8675
-- Train Recall: 0.8909
-- Train F1: 0.8791
-- Train Accuracy: 0.9697
-- Epoch: 4
+- Train Loss: 0.4207
+- Validation Loss: 0.1608
+- Train Precision: 0.6623
+- Train Recall: 0.7498
+- Train F1: 0.7034
+- Train Accuracy: 0.9557
+- Epoch: 0
 
 ## Model description
 
@@ -47,11 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.4368     | 0.1742          | 0.7968          | 0.8075       | 0.8021   | 0.9499         | 0     |
-| 0.1420     | 0.1181          | 0.8438          | 0.8515       | 0.8477   | 0.9624         | 1     |
-| 0.0968     | 0.1056          | 0.8522          | 0.8820       | 0.8668   | 0.9666         | 2     |
-| 0.0745     | 0.1010          | 0.8641          | 0.8902       | 0.8770   | 0.9689         | 3     |
-| 0.0630     | 0.1013          | 0.8675          | 0.8909       | 0.8791   | 0.9697         | 4     |
+| 0.4207     | 0.1608          | 0.6623          | 0.7498       | 0.7034   | 0.9557         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:db06e17c17c2d86b38295fe4cd53e2e9851ee8e4a5e716a199deaf4c7480a71c
 size 265667856