Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ 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: 0.1080
+- Train Loss: 0.1082
 - Validation Loss: 0.2602
 - Train Precision: 0.6351
 - Train Recall: 0.4246
 - Train F1: 0.5090
 - Train Accuracy: 0.9461
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1094     | 0.2602          | 0.6351          | 0.4246       | 0.5090   | 0.9461         | 0     |
 | 0.1080     | 0.2602          | 0.6351          | 0.4246       | 0.5090   | 0.9461         | 1     |
+| 0.1082     | 0.2602          | 0.6351          | 0.4246       | 0.5090   | 0.9461         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:be5bea6237c7c3cfa9f776dbe2172b0789e5006bb52493b288ae29affe865c7e
 size 265618704