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: 0.0613
-- Validation Loss: 0.0873
-- Train Precision: 0.8828
-- Train Recall: 0.8924
-- Train F1: 0.8876
-- Train Accuracy: 0.9681
-- Epoch: 1
+- Train Loss: 0.0354
+- Validation Loss: 0.0980
+- Train Precision: 0.8918
+- Train Recall: 0.8986
+- Train F1: 0.8952
+- Train Accuracy: 0.9696
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1279     | 0.0885          | 0.8696          | 0.8806       | 0.8751   | 0.9650         | 0     |
 | 0.0613     | 0.0873          | 0.8828          | 0.8924       | 0.8876   | 0.9681         | 1     |
+| 0.0354     | 0.0980          | 0.8918          | 0.8986       | 0.8952   | 0.9696         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f7ba2fdd68c2b7434b91c249b024c8bb750475778266b144c47946d816eac43f
+oid sha256:b1528a1988c064d6c4abe286ae0b61dcf2d28035db4fcaf56c2ce45c55d13d11
 size 265587984