End of training

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: 0.3257
-- Validation Loss: 0.1935
-- Train Precision: 0.3122
-- Train Recall: 0.2144
-- Train F1: 0.2542
-- Train Accuracy: 0.9521
-- Epoch: 0
+- Train Loss: 0.0923
+- Validation Loss: 0.1313
+- Train Precision: 0.3601
+- Train Recall: 0.4922
+- Train F1: 0.4159
+- Train Accuracy: 0.9522
+- Epoch: 5
 
 ## Model description
 
@@ -47,6 +47,11 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3257     | 0.1935          | 0.3122          | 0.2144       | 0.2542   | 0.9521         | 0     |
+| 0.1564     | 0.1464          | 0.3503          | 0.3423       | 0.3463   | 0.9546         | 1     |
+| 0.1257     | 0.1365          | 0.3593          | 0.4893       | 0.4143   | 0.9522         | 2     |
+| 0.1102     | 0.1318          | 0.3607          | 0.4692       | 0.4079   | 0.9521         | 3     |
+| 0.1002     | 0.1305          | 0.3504          | 0.4941       | 0.4100   | 0.9515         | 4     |
+| 0.0923     | 0.1313          | 0.3601          | 0.4922       | 0.4159   | 0.9522         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8fe7911f039c44d6746c1a62d0c833e940340b09c3b5a0a360ce2aab44400ce7
 size 265618792