Training in progress epoch 2

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: 0.3642
-- Validation Loss: 0.3777
-- Train Precision: 0.8666
-- Train Recall: 0.8315
-- Train F1: 0.8465
-- Train Accuracy: 0.8847
-- Epoch: 1
+- Train Loss: 0.2734
+- Validation Loss: 0.3804
+- Train Precision: 0.8466
+- Train Recall: 0.8563
+- Train F1: 0.8471
+- Train Accuracy: 0.8872
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.8177     | 0.4723          | 0.8407          | 0.7879       | 0.7948   | 0.8575         | 0     |
 | 0.3642     | 0.3777          | 0.8666          | 0.8315       | 0.8465   | 0.8847         | 1     |
+| 0.2734     | 0.3804          | 0.8466          | 0.8563       | 0.8471   | 0.8872         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:17a73dad78d52eca2b7606e4db7623f00f4df174ac0b95730eddc7fc28d3f007
 size 267970240